CN107920203A - Image-pickup method, device and electronic equipment - Google Patents
Image-pickup method, device and electronic equipment Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/61—Control of cameras or camera modules based on recognised objects
- H04N23/611—Control of cameras or camera modules based on recognised objects where the recognised objects include parts of the human body
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- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
- G06V40/23—Recognition of whole body movements, e.g. for sport training
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Abstract
The present invention proposes a kind of image-pickup method, device and electronic equipment, wherein, method includes：Prepare interface, show warming-up exercise, and gather preparation image；Identification prepares the human action in image；Whether the human action for judging to prepare in image matches with warming-up exercise；If the human action prepared in image is matched with warming-up exercise, Image Acquisition is proceeded by.This method passes through when human action is matched with warming-up exercise, proceed by Image Acquisition, it is possible thereby to avoid the shooting control of user's inadvertent free electronic equipment, so as to cause camera to gather the situation of image by mistake, or, can to avoid camera in the case of misalignment user with regard to carry out Image Acquisition, so as to cause the situation of the invalid image of typing, can ensure the validity and accuracy of subsequent image acquisition.In addition, the image-pickup method can be applied in electronic equipment, the applicability of this method is effectively lifted.
Description
Technical Field
The invention relates to the technical field of mobile terminals, in particular to an image acquisition method, an image acquisition device and electronic equipment.
Background
The motion sensing game carries out man-machine interaction through an internet operation platform, controls the action of figures in the game through the action of identifying the body of a player, and enables the whole body of the player to be thrown into the game to enjoy the new experience of the motion sensing interaction. In the prior art, the motion sensing game is mainly applied to fixed equipment such as a game host, a computer and a television, when a user opens an application program of the motion sensing game in the fixed equipment, the user can directly start the game, and then the application program of the motion sensing game can collect body actions made by the user.
In this way, since the motion sensing game is applied to the fixed device, portability is poor. In addition, when a user unintentionally triggers a shooting control in an application program of the motion sensing game, the camera may mistakenly acquire an image, or when the user stands in a region where the camera is not aligned, the image acquired by the camera may be invalid, so that the effectiveness and accuracy of acquiring the image by the camera are poor.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the related art.
Therefore, a first object of the present invention is to provide an image capturing method, so as to start image capturing when a human body action matches a preparation action, thereby avoiding a situation that a user unintentionally triggers a shooting control of an electronic device, which results in an image being captured by a camera by mistake, or avoiding a situation that an invalid image is entered when the camera is not aligned with the user, which can ensure validity and accuracy of subsequent image capturing.
A second object of the present invention is to provide an image capturing apparatus.
A third object of the invention is to propose an electronic device.
A fourth object of the invention is to propose a non-transitory computer-readable storage medium.
In order to achieve the above object, an embodiment of a first aspect of the present invention provides an image capturing method, including:
displaying a preparation action on a preparation interface, and acquiring a preparation image;
recognizing human body motion in the prepared image;
judging whether the human body motion in the preparation image is matched with the preparation motion;
and if the human body action in the prepared image is matched with the preparation action, starting to acquire the image.
Optionally, as a first possible implementation manner of the first aspect, the method further includes:
and if the human body action in the prepared image is not matched with the preparation action, the prepared image is acquired again.
Optionally, as a second possible implementation manner of the first aspect, the starting of image acquisition includes:
displaying prompt information for indicating the completion of preparation on the preparation interface;
quitting the preparation interface and displaying a shooting interface;
and starting to play the pre-selected audio on the shooting interface, and collecting each video picture frame in the process of playing the audio.
Optionally, as a third possible implementation manner of the first aspect, after the starting of playing the pre-selected audio on the shooting interface and capturing each video frame in the process of playing the audio, the method further includes:
displaying corresponding standard actions when the audio is played to each time node, and identifying human body actions in video picture frames synchronously acquired with the time nodes;
generating action evaluation information of the human body action according to the difference degree between the standard action and the human body action of the same time node;
and generating a target video according to the audio, each video frame and the action evaluation information of each human action.
Optionally, as a fourth possible implementation manner of the first aspect, the recognizing a human motion in the preparation image includes:
identifying joints of the human body in the prepared image;
connecting two adjacent joints in each joint of the human body to obtain a connecting line between the two adjacent joints;
and determining the action of the human body according to the actual included angle between the connecting line between two adjacent joints and the preset reference direction.
Optionally, as a fifth possible implementation manner of the first aspect, the determining whether the human motion in the preparation image matches the preparation motion includes:
determining a standard angle between a connecting line between every two adjacent joints and the reference direction when the preparation action is executed;
aiming at the connecting line between each two adjacent joints, comparing the difference value between the corresponding standard angle and the corresponding actual angle;
if the difference calculated by the connecting line between each two adjacent joints is within the error range, determining whether the human body action in the prepared image is matched with the preparation action;
and if the difference calculated by the connecting line between at least one adjacent two joints is not in the error range, determining that the human body action in the prepared image is not matched with the preparing action.
Optionally, as a sixth possible implementation manner of the first aspect, the displaying, on the preparation interface, a preparation action and acquiring a preparation image further includes:
displaying a semitransparent mask on the preparation interface, wherein the mask is provided with a hollowed attention area, and an image for indicating the preparation action is displayed in the attention area;
and calling a camera to acquire the preparation image.
The image acquisition method provided by the embodiment of the invention enters an accurate stage in advance before the electronic equipment acquires the image. Specifically, a preparation action is displayed on a preparation interface, and a preparation image is collected; identifying human body actions in the prepared image; judging whether the human body action in the prepared image is matched with the preparation action; and when the human body motion in the preparation image is matched with the preparation motion, starting image acquisition. In the embodiment, when the human body action is matched with the preparation action, the image acquisition is started, so that the situation that a user accidentally triggers the shooting control of the electronic equipment to mistakenly acquire an image by the camera can be avoided, or the situation that the image acquisition is carried out by the camera under the situation that the user is not aligned can be avoided, the situation that an invalid image is input is caused, and the effectiveness and the accuracy of subsequent image acquisition can be ensured. In addition, the image acquisition method can be applied to electronic equipment, the applicability of the method is effectively improved, and the problem that the portability is poor due to the fact that the existing motion sensing game is applied to fixed equipment is solved. In addition, when a user unintentionally triggers a shooting control in an application program of the motion sensing game, the camera may mistakenly acquire an image, or when the user stands in a region where the camera is not aligned, the image acquired by the camera may be invalid, so that the effectiveness and accuracy of acquiring the image by the camera are poor.
In order to achieve the above object, a second embodiment of the present invention provides an image capturing apparatus, including:
the display module is used for displaying the preparation action on the preparation interface and acquiring a preparation image;
the recognition module is used for recognizing human body actions in the prepared image;
the judging module is used for judging whether the human body action in the preparation image is matched with the preparation action;
and the acquisition module is used for starting image acquisition when the human body action in the prepared image is matched with the preparation action.
Optionally, as a first possible implementation manner of the second aspect, the acquisition module is further configured to:
and when the human body motion in the preparation image does not match with the preparation motion, re-acquiring the preparation image.
Optionally, as a second possible implementation manner of the second aspect, the acquisition module is specifically configured to:
displaying prompt information for indicating the completion of preparation on the preparation interface;
quitting the preparation interface and displaying a shooting interface;
and starting to play the pre-selected audio on the shooting interface, and collecting each video picture frame in the process of playing the audio.
Optionally, as a third possible implementation manner of the second aspect, the apparatus further includes:
the display generation module is used for starting to play a preselected audio on the shooting interface, displaying a corresponding standard action when the audio is played to each time node after each video picture frame is collected in the process of playing the audio, and identifying a human body action in the video picture frame synchronously collected with the time node; generating action evaluation information of the human body action according to the difference degree between the standard action and the human body action of the same time node; and generating a target video according to the audio, each video frame and the action evaluation information of each human action.
Optionally, as a fourth possible implementation manner of the second aspect, the identification module is specifically configured to:
identifying joints of the human body in the prepared image;
connecting two adjacent joints in each joint of the human body to obtain a connecting line between the two adjacent joints;
and determining the action of the human body according to the actual included angle between the connecting line between two adjacent joints and the preset reference direction.
Optionally, as a fifth possible implementation manner of the second aspect, the determining module is specifically configured to:
determining a standard angle between a connecting line between every two adjacent joints and the reference direction when the preparation action is executed;
aiming at the connecting line between each two adjacent joints, comparing the difference value between the corresponding standard angle and the corresponding actual angle;
if the difference calculated by the connecting line between each two adjacent joints is within the error range, determining whether the human body action in the prepared image is matched with the preparation action;
and if the difference calculated by the connecting line between at least one adjacent two joints is not in the error range, determining that the human body action in the prepared image is not matched with the preparing action.
Optionally, as a sixth possible implementation manner of the second aspect, the display module is specifically configured to:
displaying a semitransparent mask on the preparation interface, wherein the mask is provided with a hollowed attention area, and an image for indicating the preparation action is displayed in the attention area;
and calling a camera to acquire the preparation image.
The image acquisition device provided by the embodiment of the invention enters an accurate stage in advance before the electronic equipment acquires the image. Specifically, a preparation action is displayed on a preparation interface, and a preparation image is collected; identifying human body actions in the prepared image; judging whether the human body action in the prepared image is matched with the preparation action; and when the human body motion in the preparation image is matched with the preparation motion, starting image acquisition. In the embodiment, when the human body action is matched with the preparation action, the image acquisition is started, so that the situation that a user accidentally triggers the shooting control of the electronic equipment to mistakenly acquire an image by the camera can be avoided, or the situation that the image acquisition is carried out by the camera under the situation that the user is not aligned can be avoided, the situation that an invalid image is input is caused, and the effectiveness and the accuracy of subsequent image acquisition can be ensured. In addition, the image acquisition method can be applied to electronic equipment, the applicability of the method is effectively improved, and the problem that the portability is poor due to the fact that the existing motion sensing game is applied to fixed equipment is solved. In addition, when a user unintentionally triggers a shooting control in an application program of the motion sensing game, the camera may mistakenly acquire an image, or when the user stands in a region where the camera is not aligned, the image acquired by the camera may be invalid, so that the effectiveness and accuracy of acquiring the image by the camera are poor.
To achieve the above object, a third aspect of the present invention provides an electronic device, including: the device comprises a shell, a processor, a memory, a circuit board and a power circuit, wherein the circuit board is arranged in a space enclosed by the shell, and the processor and the memory are arranged on the circuit board; a power supply circuit for supplying power to each circuit or device of the electronic apparatus; the memory is used for storing executable program codes; the processor reads the executable program code stored in the memory to run a program corresponding to the executable program code, so as to execute the image capturing method according to the embodiment of the first aspect of the present invention.
To achieve the above object, a fourth embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the image capturing method according to the first embodiment of the present invention.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic flowchart of a first image acquisition method according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of a second image acquisition method according to an embodiment of the present invention;
fig. 3 is a schematic flowchart of a third image acquisition method according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an image capturing device according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of another image capturing device according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an embodiment of an electronic device according to the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
The motion sensing game is applied to fixed equipment aiming at the problem that the existing motion sensing game is poor in portability. In addition, when a user unintentionally triggers a shooting control in an application program of the motion sensing game, the camera is caused to acquire an image by mistake, or when the user stands in a region where the camera is not aligned, the image acquired by the camera is caused to be invalid, so that the technical problem that the effectiveness and accuracy of the image acquired by the camera are poor is caused. Specifically, a preparation action is displayed on a preparation interface, and a preparation image is collected; identifying human body actions in the prepared image; judging whether the human body action in the prepared image is matched with the preparation action; and when the human body motion in the preparation image is matched with the preparation motion, starting image acquisition. In the embodiment, when the human body action is matched with the preparation action, the image acquisition is started, so that the situation that a user accidentally triggers the shooting control of the electronic equipment to mistakenly acquire an image by the camera can be avoided, or the situation that the image acquisition is carried out by the camera under the situation that the user is not aligned can be avoided, the situation that an invalid image is input is caused, and the effectiveness and the accuracy of subsequent image acquisition can be ensured. In addition, the image acquisition method can be applied to electronic equipment, and the applicability of the method is effectively improved.
An image acquisition method, an apparatus, and an electronic device according to embodiments of the present invention are described below with reference to the accompanying drawings.
Fig. 1 is a schematic flow chart of a first image acquisition method according to an embodiment of the present invention. The image acquisition method can be applied to electronic equipment, wherein the electronic equipment is, for example, a Personal Computer (PC), a cloud device or a mobile device, and the mobile device is, for example, a smart phone or a tablet Computer.
As shown in fig. 1, the image acquisition method includes the steps of:
step 101, displaying a preparation action on a preparation interface, and collecting a preparation image.
In order to avoid a situation that a user unintentionally triggers a shooting control of the electronic device, so that an image is captured by a camera by mistake, or in order to avoid a situation that an invalid image is entered by capturing an image by the camera without aligning the camera with the user, in the embodiment of the present invention, before the electronic device performs image capture, a preparation stage may be entered in advance.
Specifically, the preparation action may be presented in the preparation interface, and the preparation action may be preset by a built-in program of the electronic device, and the preparation action may be, for example, a two-hand flat-lift action, or the like, which is not limited thereto. When the preparation action is displayed, a camera of the electronic equipment can acquire a preparation image, wherein the preparation image comprises the human body action made by the user.
As a possible implementation manner, the preparation action may be presented in any area of the preparation interface, and the preparation action may be fixed for a preset time period, or the preparation action may move along a preset track, which is not limited in this respect. The preset track can be preset for a built-in program of the electronic device.
As another possible implementation manner, in order to enable the user to view the preparation action while not affecting the user's viewing of the content on the screen of the electronic device, in this embodiment, a semi-transparent mask may be displayed on the preparation interface, where the mask has a hollow attention area, and an image for indicating the preparation action is displayed in the attention area, that is, a schematic diagram of the preparation action is displayed in the attention area. Alternatively, the preparation action may be presented in the form of a bullet screen on the preparation interface, which is not limited.
Step 102, human body motion in the prepared image is identified.
As a possible implementation manner, the camera used for acquiring the preparation image may be a camera capable of acquiring depth information of a user, and the human body motion in the preparation image may be identified through the acquired depth information. For example, the camera may be a Depth camera (RGBD), and Depth information of a human body in the prepared image may be acquired while imaging, so that a motion of the human body in the prepared image may be identified according to the Depth information. In addition, the acquisition of the human motion depth information can be performed through the structured light or the TOF lens, so that the human motion in the prepared image can be identified according to the depth information, which is not limited.
As another possible implementation manner, joints of the human body in the prepared image may be recognized, for example, the human face and the position information of the human face in the prepared image may be recognized according to a face recognition technology, and then the position information of each joint of the human body may be calculated according to the proportional relationship between the limbs and the height in the human anatomy. Of course, the position information of each joint of the human body in the prepared image may be determined by other algorithms, which is not limited to this.
After each joint is identified, two adjacent joints of each joint of the human body can be connected to obtain a connecting line between the two adjacent joints, and finally, the human body action in the video picture frame is determined according to an actual included angle between the connecting line between the two adjacent joints and a preset reference direction. The preset reference direction may be a horizontal direction or a vertical direction.
Step 103, judging whether the human body motion in the preparation image is matched with the preparation motion.
In the embodiment of the invention, whether the human body action is matched with the preparation action can be judged according to whether the difference degree between the human body action and the preparation action is greater than the difference threshold value. Specifically, a standard angle between a connecting line between each two adjacent joints and the reference direction at the time of performing the preparatory movement may be determined, and for each connecting line between each two adjacent joints, a difference between the corresponding standard angle and the actual angle may be compared. When the difference calculated by the connecting line between each two adjacent joints is within the error range, the human body action in the preparation image can be determined to be matched with the preparation action, and when the difference calculated by the connecting line between at least two adjacent joints is not within the error range, the human body action in the preparation image can be determined to be not matched with the preparation action.
And 104, if the human body motion in the prepared image is matched with the preparation motion, starting to acquire the image.
Alternatively, when the human motion in the preparation image matches the preparation motion, indicating that the degree of difference between the human motion made by the user and the preparation motion is small, at this time, image acquisition may be started. Specifically, the user can select audio in advance on the shooting interface, the electronic device can play the audio according to the operation of the user, and simultaneously turn on the camera to collect each video frame.
The image acquisition method of the embodiment enters an accurate stage in advance before the electronic device performs image acquisition. Specifically, a preparation action is displayed on a preparation interface, and a preparation image is collected; identifying human body actions in the prepared image; judging whether the human body action in the prepared image is matched with the preparation action; and when the human body motion in the preparation image is matched with the preparation motion, starting image acquisition. In the embodiment, when the human body action is matched with the preparation action, the image acquisition is started, so that the situation that a user accidentally triggers the shooting control of the electronic equipment to mistakenly acquire an image by the camera can be avoided, or the situation that the image acquisition is carried out by the camera under the situation that the user is not aligned can be avoided, the situation that an invalid image is input is caused, and the effectiveness and the accuracy of subsequent image acquisition can be ensured. In addition, the image acquisition method can be applied to electronic equipment, the applicability of the method is effectively improved, and the problem that the portability is poor due to the fact that the existing motion sensing game is applied to fixed equipment is solved. In addition, when a user unintentionally triggers a shooting control in an application program of the motion sensing game, the camera may mistakenly acquire an image, or when the user stands in a region where the camera is not aligned, the image acquired by the camera may be invalid, so that the effectiveness and accuracy of acquiring the image by the camera are poor.
As a possible implementation manner, referring to fig. 2, on the basis of the embodiment shown in fig. 1, image acquisition is started, specifically including the following steps:
step 201, displaying prompt information for indicating the completion of preparation on a preparation interface.
Alternatively, when the human body motion in the preparation image matches the preparation motion, the preparation interface may be exited, and the capture interface may be entered at this time. Specifically, prompt information for indicating that preparation is completed may be displayed on the preparation interface, for example: and (5) the action is correct, and a shooting link is entered.
And 202, exiting the preparation interface and displaying the shooting interface.
Step 203, starting to play the pre-selected audio in the shooting interface, and collecting each video frame in the audio playing process.
In the embodiment of the present invention, the shooting interface may include a shooting control, and when an operation of the user on the shooting control is detected, for example, when the user clicks the shooting control, the shooting interface may automatically display a song selection interface, and then the user may arbitrarily select one audio from the song selection interface as the audio selected by the user.
After the user selects the audio, the electronic device may play the audio according to the operation of the user, for example, when the electronic device monitors that the user clicks the audio, the electronic device may play the audio, and simultaneously turn on the camera to capture each video frame.
According to the image acquisition method, the prompt information used for indicating the completion of the preparation is displayed on the preparation interface, the preparation interface is quitted, the shooting interface is displayed, the pre-selected audio starts to be played on the shooting interface, and each video picture frame is acquired in the process of playing the audio. In the embodiment, the prompt information used for indicating the completion of the preparation is displayed on the preparation interface, the preparation interface is quitted, and the shooting interface is displayed, so that the situation that a user unintentionally triggers the shooting control of the electronic equipment to cause the camera to mistakenly acquire the image can be avoided, or the situation that the camera performs image acquisition under the situation that the camera is not aligned with the user to cause the entry of an invalid image can be avoided, and the effectiveness and the accuracy of acquiring each video frame on the shooting interface can be ensured.
As a possible implementation manner, referring to fig. 3, on the basis of the embodiment shown in fig. 2, after step 203, the image acquisition method may further include the following steps:
step 301, when the audio is played to each time node, the corresponding standard action is displayed.
Specifically, when the audio is played to each time node, the standard action corresponding to the time node can be displayed on the shooting interface.
As a possible implementation manner, the schematic diagram of the standard motion may be displayed in any area of the shooting interface, and the schematic diagram of the standard motion may be fixed, or the schematic diagram of the standard motion may move along a preset track, which is not limited in this respect. The preset track can be preset for a built-in program of the electronic device.
As another possible implementation manner, in order to enable a user to view a standard action while not affecting the user's viewing of content on a screen of an electronic device, in this embodiment, a semi-transparent mask may be displayed on a shooting interface, where the mask has a hollow attention area, and an image for indicating the standard action is displayed in the attention area, that is, a schematic diagram of the standard action is displayed in the attention area. Or, the corresponding standard action may be displayed in the form of a bullet screen on the shooting interface, which is not limited.
When the schematic diagram of the standard action moves along the preset track, the schematic diagram of the standard action can be controlled to move along the preset track while the schematic diagram of the standard action is displayed on the shooting interface.
Step 302, identifying human body actions in video picture frames synchronously acquired with time nodes.
As a possible implementation manner, the camera used for acquiring the video frame may be a camera capable of acquiring depth information of the user, and the human body motion in the video frame may be identified through the acquired depth information. For example, the camera may be a depth camera, and the depth information of the human body in the video frame may be acquired while imaging, so that the human body action in the video frame may be identified according to the depth information. In addition, the human motion depth information can be acquired through the structured light or the TOF lens, so that the human motion in the video frame can be identified according to the depth information, which is not limited.
As another possible implementation mode, each joint of the human body in the standard image can be identified, then two adjacent joints of each joint of the human body are connected to obtain a connecting line between the two adjacent joints, and finally the human body action in the video picture frame is determined according to the actual included angle between the connecting line between the two adjacent joints and the preset reference direction.
And 303, generating motion evaluation information of the human body motion according to the difference degree between the standard motion and the human body motion of the same time node.
In an embodiment of the present invention, the evaluation information of the human body action includes a human body action score for indicating a degree of difference between the human body action and the corresponding standard action, and specifically, a higher human body action score indicates a smaller degree of difference between the human body action and the corresponding standard action, and a lower human body action score indicates a larger degree of difference between the human body action and the corresponding standard action.
Specifically, when the human body motion in the video frame does not match the standard motion, the score obtained by the human body motion made by the user may be set to 0, and when the human body motion in the video frame matches the standard motion, the score coefficient of the link may be determined according to the corresponding difference and the error range for each link between two adjacent joints, for example, the label error range is [ a, b ], the error is Δ, the score coefficient p of the link may be calculated according to the formula p ═ 1- [2 Δ/(a-b) ], or the score coefficient of the link may be calculated according to another algorithm, which is not limited. After the score coefficient of the connection is obtained, the evaluation information of the connection may be generated according to the score coefficient of the connection and the score corresponding to the connection, for example, the evaluation information of the connection may be equal to the score coefficient of the connection multiplied by the score corresponding to the connection. And finally, the evaluation information of the human body action can be obtained by adding the evaluation information of the connecting line between every two adjacent joints.
Further, the motion evaluation information of the human motion may further include an animation effect corresponding to the section to which the human motion score belongs. For example, when the score of human motion is 100, if the score of human motion belongs to the interval [90,100], the animation effect may be "perfect or perfect" and match diamond flickering, and the animation effect may be "good or good" and match flower flickering.
For example, according to the difference degree between the standard motion of the time node a and the human motion, the generated human motion score is 94 points, and the animation effect generated on the shooting interface is "perfect" and matches diamond flicker. Therefore, the user can know whether the human body action made by the user is standard in time, and the substitution feeling of the user is improved.
And step 304, generating a target video according to the audio, each video frame and the motion evaluation information of each human motion.
In the embodiment of the invention, when the audio playing of the shooting interface is finished, the evaluation information of the human body action corresponding to different time nodes can be acquired, and then the target video is generated according to the audio, the acquired video frame and the action evaluation information of the corresponding human body action.
Specifically, when the shooting interface displays a standard action corresponding to the last time node of the audio, the camera collects video frame frames in the display process of the standard action, and then the application program in the electronic equipment generates action evaluation information of the human action according to the difference degree between the standard action of the last time node and the human action. When the audio playing of the shooting interface is finished, the evaluation information of the human body action corresponding to each time node can be obtained, and then the target video is generated according to the audio, the obtained video frame and the corresponding action evaluation information of the human body action.
In the image acquisition method of the embodiment, when the standard motion is displayed, the video picture frame of the human motion is acquired, the connection line of adjacent joints can be obtained by identifying the adjacent joints of the human in the video picture frame of the human, the actual included angle between the connection line of the adjacent joints and the preset reference direction is calculated, and whether the human motion is matched with the standard motion or not is determined according to the difference value between the actual included angle and the standard angle, so that the accurate identification of the human motion can be realized. In addition, by generating the action evaluation information of the human body action, the evaluation information can indicate the difference degree between the human body action and the standard action, and after the video is finally generated, the user can know and correct the human body action during playback, so that the standard property of the human body action can be improved during next video recording.
In order to implement the above embodiment, the invention further provides an image acquisition device.
Fig. 4 is a schematic structural diagram of an image capturing device according to an embodiment of the present invention.
As shown in fig. 4, the image capturing apparatus 400 includes: a presentation module 410, an identification module 420, a determination module 430, and an acquisition module 440. Wherein,
and a display module 410 for displaying the preparation action and acquiring the preparation image on the preparation interface.
As a possible implementation manner, the display module 410 is specifically configured to display a semi-transparent mask on the preparation interface, where the mask has a hollow attention area, and an image for indicating the preparation action is displayed in the attention area; and calling a camera to acquire a preparation image.
And the recognition module 420 is used for recognizing the human body action in the prepared image.
And a judging module 430, configured to judge whether the human body motion in the preparation image matches the preparation motion.
And the acquisition module 440 is configured to start image acquisition when the human body motion in the preparation image matches the preparation motion.
In the embodiment of the present invention, the acquisition module 440 is specifically configured to display a prompt message for indicating that preparation is completed on the preparation interface; exiting the preparation interface and displaying the shooting interface; and starting to play the pre-selected audio on the shooting interface, and collecting each video picture frame in the audio playing process.
Optionally, the capturing module 440 is further configured to re-capture the preparation image when the human body motion in the preparation image does not match the preparation motion.
Further, as a possible implementation manner of the embodiment of the present invention, referring to fig. 5, on the basis of the embodiment shown in fig. 4, the image capturing apparatus 400 may further include:
the display generation module 450 is configured to start playing a preselected audio on the shooting interface, display a corresponding standard action when the audio is played to each time node after each video frame is collected in the audio playing process, and identify a human body action in the video frame collected synchronously with the time node; generating action evaluation information of the human body action according to the difference degree between the standard action and the human body action of the same time node; and generating the target video according to the audio, each video frame and the motion evaluation information of each human motion.
As a possible implementation, the recognition module 420 is specifically configured to recognize joints of the human body in the preparation image; connecting two adjacent joints in each joint of the human body to obtain a connecting line between the two adjacent joints; and determining the action of the human body according to the actual included angle between the connecting line between two adjacent joints and the preset reference direction.
As a possible implementation manner, the determining module 430 is specifically configured to determine a standard angle between a connecting line between each two adjacent joints and the reference direction when the preparation action is performed; comparing the difference between the corresponding standard angle and the actual angle according to the connecting line between each two adjacent joints; if the difference calculated by the connecting line between each two adjacent joints is within the error range, determining whether the human body action in the prepared image is matched with the preparation action; and if the difference calculated by the connecting line between at least one adjacent two joints is not in the error range, determining that the human body action in the prepared image is not matched with the preparing action.
It should be noted that the foregoing explanation of the embodiment of the image capturing method is also applicable to the image capturing apparatus 400 of this embodiment, and is not repeated here.
The image acquisition device of the embodiment enters an accurate stage in advance before the electronic equipment acquires images. Specifically, a preparation action is displayed on a preparation interface, and a preparation image is collected; identifying human body actions in the prepared image; judging whether the human body action in the prepared image is matched with the preparation action; and when the human body motion in the preparation image is matched with the preparation motion, starting image acquisition. In the embodiment, when the human body action is matched with the preparation action, the image acquisition is started, so that the situation that a user accidentally triggers the shooting control of the electronic equipment to mistakenly acquire an image by the camera can be avoided, or the situation that the image acquisition is carried out by the camera under the situation that the user is not aligned can be avoided, the situation that an invalid image is input is caused, and the effectiveness and the accuracy of subsequent image acquisition can be ensured. In addition, the image acquisition method can be applied to electronic equipment, the applicability of the method is effectively improved, and the problem that the portability is poor due to the fact that the existing motion sensing game is applied to fixed equipment is solved. In addition, when a user unintentionally triggers a shooting control in an application program of the motion sensing game, the camera may mistakenly acquire an image, or when the user stands in a region where the camera is not aligned, the image acquired by the camera may be invalid, so that the effectiveness and accuracy of acquiring the image by the camera are poor.
An embodiment of the present invention further provides an electronic device, which includes the apparatus according to any of the foregoing embodiments.
Fig. 6 is a schematic structural diagram of an embodiment of an electronic device of the present invention, which can implement the processes of the embodiments shown in fig. 1 to 5 of the present invention, and as shown in fig. 6, the electronic device may include: the device comprises a shell 41, a processor 42, a memory 43, a circuit board 44 and a power circuit 45, wherein the circuit board 44 is arranged inside a space enclosed by the shell 41, and the processor 42 and the memory 43 are arranged on the circuit board 44; a power supply circuit 45 for supplying power to each circuit or device of the electronic apparatus; the memory 43 is used for storing executable program code; the processor 42 executes a program corresponding to the executable program code by reading the executable program code stored in the memory 43, so as to execute the image capturing method according to any one of the foregoing embodiments.
The specific execution process of the above steps by the processor 42 and the steps further executed by the processor 42 by running the executable program code may refer to the description of the embodiment shown in fig. 1 to 5 of the present invention, and are not described herein again.
The electronic device exists in a variety of forms, including but not limited to:
(1) a mobile communication device: such devices are characterized by mobile communications capabilities and are primarily targeted at providing voice, data communications. Such terminals include: smart phones (e.g., iphones), multimedia phones, functional phones, and low-end phones, among others.
(2) Ultra mobile personal computer device: the equipment belongs to the category of personal computers, has calculation and processing functions and generally has the characteristic of mobile internet access. Such terminals include: PDA, MID, and UMPC devices, etc., such as ipads.
(3) A portable entertainment device: such devices can display and play multimedia content. This type of device comprises: audio, video players (e.g., ipods), handheld game consoles, electronic books, and smart toys and portable car navigation devices.
(4) A server: the device for providing the computing service comprises a processor, a hard disk, a memory, a system bus and the like, and the server is similar to a general computer architecture, but has higher requirements on processing capacity, stability, reliability, safety, expandability, manageability and the like because of the need of providing high-reliability service.
(5) And other electronic equipment with data interaction function.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The above description is only for the specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
In order to implement the above embodiments, the present invention also proposes a non-transitory computer-readable storage medium, on which a computer program is stored, characterized in that the program, when executed by a processor, implements the image acquisition method as described in the foregoing embodiments.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (10)
1. An image acquisition method, characterized by comprising the steps of:
displaying a preparation action on a preparation interface, and acquiring a preparation image;
recognizing human body motion in the prepared image;
judging whether the human body motion in the preparation image is matched with the preparation motion;
and if the human body action in the prepared image is matched with the preparation action, starting to acquire the image.
2. The image acquisition method according to claim 1, characterized in that the method further comprises:
and if the human body action in the prepared image is not matched with the preparation action, the prepared image is acquired again.
3. The image capturing method as claimed in claim 1, wherein said starting of image capturing comprises:
displaying prompt information for indicating the completion of preparation on the preparation interface;
quitting the preparation interface and displaying a shooting interface;
and starting to play the pre-selected audio on the shooting interface, and collecting each video picture frame in the process of playing the audio.
4. The image capturing method as claimed in claim 3, wherein said capturing, at said capturing interface, a pre-selected audio is started to be played, and after capturing each video frame during playing of said audio, further comprising:
displaying corresponding standard actions when the audio is played to each time node, and identifying human body actions in video picture frames synchronously acquired with the time nodes;
generating action evaluation information of the human body action according to the difference degree between the standard action and the human body action of the same time node;
and generating a target video according to the audio, each video frame and the action evaluation information of each human action.
5. The image capturing method according to any one of claims 1 to 4, wherein the recognizing the human body motion in the prepared image comprises:
identifying joints of the human body in the prepared image;
connecting two adjacent joints in each joint of the human body to obtain a connecting line between the two adjacent joints;
and determining the action of the human body according to the actual included angle between the connecting line between two adjacent joints and the preset reference direction.
6. The image capturing method according to claim 5, wherein the determining whether the human motion in the preparation image matches the preparation motion comprises:
determining a standard angle between a connecting line between every two adjacent joints and the reference direction when the preparation action is executed;
aiming at the connecting line between each two adjacent joints, comparing the difference value between the corresponding standard angle and the corresponding actual angle;
if the difference calculated by the connecting line between each two adjacent joints is within the error range, determining whether the human body action in the prepared image is matched with the preparation action;
and if the difference calculated by the connecting line between at least one adjacent two joints is not in the error range, determining that the human body action in the prepared image is not matched with the preparing action.
7. The image capturing method according to claim 1, wherein the presenting a preparation action and capturing a preparation image at a preparation interface comprises:
displaying a semitransparent mask on the preparation interface, wherein the mask is provided with a hollowed attention area, and an image for indicating the preparation action is displayed in the attention area;
and calling a camera to acquire the preparation image.
8. An image acquisition apparatus, characterized in that the apparatus comprises:
the display module is used for displaying the preparation action on the preparation interface and acquiring a preparation image;
the recognition module is used for recognizing human body actions in the prepared image;
the judging module is used for judging whether the human body action in the preparation image is matched with the preparation action;
and the acquisition module is used for starting image acquisition when the human body action in the prepared image is matched with the preparation action.
9. An electronic device, comprising: the device comprises a shell, a processor, a memory, a circuit board and a power circuit, wherein the circuit board is arranged in a space enclosed by the shell, and the processor and the memory are arranged on the circuit board; a power supply circuit for supplying power to each circuit or device of the electronic apparatus; the memory is used for storing executable program codes; the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory, for executing the image capturing method according to any one of claims 1 to 7.
10. A non-transitory computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the image acquisition method according to any one of claims 1 to 7.
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| PCT/CN2018/098601 WO2019100756A1 (en) | 2017-11-23 | 2018-08-03 | Image acquisition method and apparatus, and electronic device |
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| CN201711182910.6A CN107920203A (en) | 2017-11-23 | 2017-11-23 | Image-pickup method, device and electronic equipment |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109195002A (en) * | 2018-08-06 | 2019-01-11 | 光锐恒宇（北京）科技有限公司 | Generation method, device, intelligent terminal and the computer readable storage medium of video |
| WO2019100756A1 (en) * | 2017-11-23 | 2019-05-31 | 乐蜜有限公司 | Image acquisition method and apparatus, and electronic device |
| CN110139115A (en) * | 2019-04-30 | 2019-08-16 | 广州虎牙信息科技有限公司 | Virtual image attitude control method, device and electronic equipment based on key point |
| CN110336940A (en) * | 2019-06-21 | 2019-10-15 | 深圳市茄子咔咔娱乐影像科技有限公司 | A kind of method and system shooting synthesis special efficacy based on dual camera |
| CN110572686A (en) * | 2019-08-05 | 2019-12-13 | 广州华多网络科技有限公司 | Interaction method, live broadcast system, electronic equipment and storage device |
| CN111260678A (en) * | 2018-11-30 | 2020-06-09 | 百度在线网络技术（北京）有限公司 | Gymnastics assistant learning method and device, storage medium and terminal equipment |
| CN111954052A (en) * | 2019-05-17 | 2020-11-17 | 上海哔哩哔哩科技有限公司 | Method for displaying bullet screen information, computer equipment and readable storage medium |
| CN113726465A (en) * | 2020-05-26 | 2021-11-30 | 华为技术有限公司 | Timestamp synchronization method and device |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114265534B (en) * | 2020-09-16 | 2024-09-10 | 北京小米移动软件有限公司 | Display method and device of screen locking interface, electronic equipment and storage medium |
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Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201349264Y (en) * | 2008-12-30 | 2009-11-18 | 深圳市同洲电子股份有限公司 | Motion image processing device and system |
| US20100185570A1 (en) * | 2009-01-22 | 2010-07-22 | Asustek Computer Inc. | Three-dimensional motion identifying method and system |
| CN102622509A (en) * | 2012-01-21 | 2012-08-01 | 天津大学 | Three-dimensional game interaction system based on monocular video |
| CN103076884A (en) * | 2013-02-07 | 2013-05-01 | 韩铮 | Data acquisition method and data acquisition device for motion recognition, and motion recognition system |
| CN103336953A (en) * | 2013-07-05 | 2013-10-02 | 深圳市中视典数字科技有限公司 | Movement judgment method based on body sensing equipment |
| CN103558911A (en) * | 2013-10-24 | 2014-02-05 | 广东欧珀移动通信有限公司 | Method and system for realizing mute of mobile terminal |
| CN103576840A (en) * | 2012-07-24 | 2014-02-12 | 上海辰戌信息科技有限公司 | Stereoscopic vision based gesture body-sense control system |
| CN104065807A (en) * | 2013-11-22 | 2014-09-24 | 苏州天鸣信息科技有限公司 | Misjudgement-preventing image control device |
| CN104881122A (en) * | 2015-05-29 | 2015-09-02 | 深圳奥比中光科技有限公司 | Somatosensory interactive system activation method and somatosensory interactive method and system |
| CN105307017A (en) * | 2015-11-03 | 2016-02-03 | Tcl集团股份有限公司 | Method and device for correcting posture of smart television user |
| CN105975054A (en) * | 2015-11-23 | 2016-09-28 | 乐视网信息技术（北京）股份有限公司 | Method and device for information processing |
| CN106125909A (en) * | 2016-06-14 | 2016-11-16 | 上海锡月科技有限公司 | A kind of motion capture system for training |
| CN106951077A (en) * | 2017-03-16 | 2017-07-14 | 联想(北京)有限公司 | A kind of reminding method and the first electronic equipment |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20160096473A (en) * | 2015-02-05 | 2016-08-16 | 한국전자통신연구원 | System and method for motion evaluation |
| CN106022208A (en) * | 2016-04-29 | 2016-10-12 | 北京天宇朗通通信设备股份有限公司 | Human body motion recognition method and device |
| CN107920203A (en) * | 2017-11-23 | 2018-04-17 | 乐蜜有限公司 | Image-pickup method, device and electronic equipment |
-
2017
- 2017-11-23 CN CN201711182910.6A patent/CN107920203A/en active Pending
-
2018
- 2018-08-03 WO PCT/CN2018/098601 patent/WO2019100756A1/en active Application Filing
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201349264Y (en) * | 2008-12-30 | 2009-11-18 | 深圳市同洲电子股份有限公司 | Motion image processing device and system |
| US20100185570A1 (en) * | 2009-01-22 | 2010-07-22 | Asustek Computer Inc. | Three-dimensional motion identifying method and system |
| CN102622509A (en) * | 2012-01-21 | 2012-08-01 | 天津大学 | Three-dimensional game interaction system based on monocular video |
| CN103576840A (en) * | 2012-07-24 | 2014-02-12 | 上海辰戌信息科技有限公司 | Stereoscopic vision based gesture body-sense control system |
| CN103076884A (en) * | 2013-02-07 | 2013-05-01 | 韩铮 | Data acquisition method and data acquisition device for motion recognition, and motion recognition system |
| CN103336953A (en) * | 2013-07-05 | 2013-10-02 | 深圳市中视典数字科技有限公司 | Movement judgment method based on body sensing equipment |
| CN103558911A (en) * | 2013-10-24 | 2014-02-05 | 广东欧珀移动通信有限公司 | Method and system for realizing mute of mobile terminal |
| CN104065807A (en) * | 2013-11-22 | 2014-09-24 | 苏州天鸣信息科技有限公司 | Misjudgement-preventing image control device |
| CN104881122A (en) * | 2015-05-29 | 2015-09-02 | 深圳奥比中光科技有限公司 | Somatosensory interactive system activation method and somatosensory interactive method and system |
| CN105307017A (en) * | 2015-11-03 | 2016-02-03 | Tcl集团股份有限公司 | Method and device for correcting posture of smart television user |
| CN105975054A (en) * | 2015-11-23 | 2016-09-28 | 乐视网信息技术（北京）股份有限公司 | Method and device for information processing |
| CN106125909A (en) * | 2016-06-14 | 2016-11-16 | 上海锡月科技有限公司 | A kind of motion capture system for training |
| CN106951077A (en) * | 2017-03-16 | 2017-07-14 | 联想(北京)有限公司 | A kind of reminding method and the first electronic equipment |
Non-Patent Citations (2)
| Title |
|---|
| 林强等: "《行为识别与智能计算》", 30 November 2016 * |
| 陈乙雄等: "《移动设备新技术简明教程》", 31 August 2016 * |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019100756A1 (en) * | 2017-11-23 | 2019-05-31 | 乐蜜有限公司 | Image acquisition method and apparatus, and electronic device |
| CN109195002A (en) * | 2018-08-06 | 2019-01-11 | 光锐恒宇（北京）科技有限公司 | Generation method, device, intelligent terminal and the computer readable storage medium of video |
| CN111260678A (en) * | 2018-11-30 | 2020-06-09 | 百度在线网络技术（北京）有限公司 | Gymnastics assistant learning method and device, storage medium and terminal equipment |
| CN110139115A (en) * | 2019-04-30 | 2019-08-16 | 广州虎牙信息科技有限公司 | Virtual image attitude control method, device and electronic equipment based on key point |
| CN111954052A (en) * | 2019-05-17 | 2020-11-17 | 上海哔哩哔哩科技有限公司 | Method for displaying bullet screen information, computer equipment and readable storage medium |
| CN111954052B (en) * | 2019-05-17 | 2022-04-05 | 上海哔哩哔哩科技有限公司 | Method for displaying bullet screen information, computer equipment and readable storage medium |
| CN110336940A (en) * | 2019-06-21 | 2019-10-15 | 深圳市茄子咔咔娱乐影像科技有限公司 | A kind of method and system shooting synthesis special efficacy based on dual camera |
| CN110572686A (en) * | 2019-08-05 | 2019-12-13 | 广州华多网络科技有限公司 | Interaction method, live broadcast system, electronic equipment and storage device |
| CN110572686B (en) * | 2019-08-05 | 2022-05-10 | 广州方硅信息技术有限公司 | Interaction method, live broadcast system, electronic equipment and storage device |
| CN113726465A (en) * | 2020-05-26 | 2021-11-30 | 华为技术有限公司 | Timestamp synchronization method and device |
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|---|---|
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