CN113139411A - Method, device and product for realizing information statistics - Google Patents
Method, device and product for realizing information statistics Download PDFInfo
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- CN113139411A CN113139411A CN202010073043.8A CN202010073043A CN113139411A CN 113139411 A CN113139411 A CN 113139411A CN 202010073043 A CN202010073043 A CN 202010073043A CN 113139411 A CN113139411 A CN 113139411A
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- G06—COMPUTING OR CALCULATING; COUNTING
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- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
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Abstract
The application relates to the technical field of communication, and discloses a method for realizing information statistics, which comprises the following steps: carrying out eye identification on the audience to obtain an eye identification result; and carrying out audience information statistics on the environment of the audience according to the eye identification result to obtain an audience information statistical result. According to the method for realizing the information statistics, the eye recognition result obtained by carrying out eye recognition on the audience is used as the basis for carrying out audience information statistics on the environment where the audience is located, and the accuracy of the statistics basis is improved by the field statistics mode, so that the accuracy of the statistics result is improved. The application also discloses a device and a product for realizing information statistics.
Description
Technical Field
The present application relates to the field of information processing technologies, and for example, to a method, an apparatus, and a product for implementing information statistics.
Background
At present, when audience information statistics including box office statistics is performed on the environment where audiences such as a cinema are located, information such as the number of tickets drawn is generally counted to obtain a statistical result.
In the process of implementing the embodiments of the present disclosure, it is found that at least the following problems exist in the related art:
the accuracy of the number of invoices on which statistics are based is low, resulting in low accuracy of the statistical results.
Disclosure of Invention
The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview nor is intended to identify key/critical elements or to delineate the scope of such embodiments but rather as a prelude to the more detailed description that is presented later.
The embodiment of the disclosure provides a method, a device and a product for realizing information statistics, so as to solve the technical problem that the accuracy of the counting result is low due to the low accuracy of the ticket drawing quantity serving as the basis of the statistics.
The method for realizing information statistics provided by the embodiment of the disclosure comprises the following steps:
carrying out eye identification on the audience to obtain an eye identification result;
and carrying out audience information statistics on the environment of the audience according to the eye identification result to obtain an audience information statistical result.
In some embodiments, performing eye recognition may include:
carrying out eye identification in real time; or
Periodically performing eye recognition; or
And carrying out eye identification when a first preset condition is met.
In some embodiments, performing eye recognition on the viewer may include:
identifying the eyes of the viewer within a particular range of positions in the environment in which the viewer is located; or
The eyes of the viewer are identified at non-specific locations in the environment in which the viewer is located.
In some embodiments, performing eye recognition on the viewer to obtain an eye recognition result may include:
under the condition that the eyes of the audience exist in the position range for identification, obtaining an eye identification result as the eyes of the audience; or
When the eyes of the viewer in the identified position range are oriented in the viewing direction, the eye identification result is obtained as the eyes of the viewer.
In some embodiments, performing audience information statistics on the environment where the audience is located according to the eye recognition result may include:
audience information statistics is carried out in real time; or
Periodically counting audience information; or
And carrying out audience information statistics when a second preset condition is met.
In some embodiments, performing audience information statistics on the environment where the audience is located according to the eye recognition result may include:
for the audience with the eyes identified, the number of audiences in a partial area or the whole area in the environment where the audiences are located is counted.
In some embodiments, the aforementioned audience size may include at least one of:
the number of viewers at a single time;
at least one of the number of viewers and the change in the number of viewers at different times;
a maximum number of viewers;
the minimum number of viewers.
In some embodiments, the different time instants may be consecutive or separated different time instants.
In some embodiments, the audience information statistics may also be analyzed to obtain audience information analysis results.
In some embodiments, analyzing the audience information statistics to obtain the audience information analysis result may include:
and determining the audience information analysis result corresponding to the audience information statistical result according to the corresponding relation between the audience information statistical result and the audience information analysis result.
In some embodiments, determining the audience information analysis result corresponding to the audience information statistic result may include:
scoring the watched content according to the scores of the watched content corresponding to the audience information statistical result; or
And grading the watching contents according to the grade of the watching contents corresponding to the audience information statistical result.
In some embodiments, at least one of the eye recognition results and the audience information statistics may also be reported.
In some embodiments, the reporting may include:
and sending at least one of the eye identification result and the audience information statistical result to a management background.
In some embodiments, the environment of the viewer may be: a movie theater, a theater, or a concert hall.
The device for realizing information statistics provided by the embodiment of the disclosure comprises a processor and a memory which stores program instructions; the processor is configured to perform the above-described method of implementing information statistics when executing program instructions.
The device for realizing information statistics provided by the embodiment of the disclosure comprises:
the eye displacement sensor is configured to perform eye recognition on the audience so as to obtain an eye recognition result;
and the counting module is configured to perform audience information counting on the environment where the audience is located according to the eye identification result to obtain an audience information counting result.
In some embodiments, the eye displacement sensor may be configured to:
carrying out eye identification in real time; or
Periodically performing eye recognition; or
And carrying out eye identification when a first preset condition is met.
In some embodiments, the eye displacement sensor may be configured to:
identifying the eyes of the viewer within a particular range of positions in the environment in which the viewer is located; or
The eyes of the viewer are identified at non-specific locations in the environment in which the viewer is located.
In some embodiments, the eye displacement sensor may be configured to:
under the condition that the eyes of the audience exist in the position range for identification, obtaining an eye identification result as the eyes of the audience; or
When the eyes of the viewer in the identified position range are oriented in the viewing direction, the eye identification result is obtained as the eyes of the viewer.
In some embodiments, the statistics module may be configured to:
audience information statistics is carried out in real time; or
Periodically counting audience information; or
And carrying out audience information statistics when a second preset condition is met.
In some embodiments, the statistics module may be configured to:
for the audience with the eyes identified, the number of audiences in a partial area or the whole area in the environment where the audiences are located is counted.
In some embodiments, the aforementioned audience size may include at least one of:
the number of viewers at a single time;
at least one of the number of viewers and the change in the number of viewers at different times;
a maximum number of viewers;
the minimum number of viewers.
In some embodiments, the different time instants may be consecutive or separated different time instants.
In some embodiments, the system may further include an analysis module configured to analyze the audience information statistics to obtain an audience information analysis result.
In some embodiments, the analysis module may be configured to:
and determining the audience information analysis result corresponding to the audience information statistical result according to the corresponding relation between the audience information statistical result and the audience information analysis result.
In some embodiments, the analysis module may be configured to:
scoring the watched content according to the scores of the watched content corresponding to the audience information statistical result; or
And grading the watching contents according to the grade of the watching contents corresponding to the audience information statistical result.
In some embodiments, the analysis module may be a data processing chip or include logic circuitry.
In some embodiments, a transmitter configured to report at least one of the eye recognition result and the audience information statistic result may be further included.
In some embodiments, the transmitter may be configured to:
and sending at least one of the eye identification result and the audience information statistical result to a management background.
In some embodiments, the eye displacement sensor may be a camera.
In some embodiments, the number of eye displacement sensors may be one or more than one.
In some embodiments, the statistics module may be a data processing chip, or include logic circuitry.
In some embodiments, the environment of the viewer may be: a movie theater, a theater, or a concert hall.
The product for realizing information statistics provided by the embodiment of the disclosure comprises the device for realizing information statistics.
The method, the device and the product for realizing information statistics provided by the embodiment of the disclosure can realize the following technical effects:
the eye recognition result obtained by eye recognition of the audience is used as the basis for audience information statistics of the environment where the audience is located, and the field statistical mode improves the accuracy of the statistical basis and further improves the accuracy of the statistical result.
The foregoing general description and the following description are exemplary and explanatory only and are not restrictive of the application.
Drawings
One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the accompanying drawings and not in limitation thereof, in which elements having the same reference numeral designations are shown as like elements and not in limitation thereof, and wherein:
fig. 1 is a schematic flow chart illustrating information statistics according to an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of an apparatus for implementing information statistics provided by an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of another apparatus for implementing information statistics provided by the embodiment of the present disclosure;
FIG. 4 is a schematic diagram of another apparatus for implementing information statistics provided by the embodiment of the present disclosure;
FIG. 5 is a schematic diagram of another apparatus for implementing information statistics provided by the embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of a product for implementing information statistics provided by an embodiment of the present disclosure.
Reference numerals:
200: means for implementing information statistics; 210: a processor; 220: a memory; 230: a communication interface; 240: a bus; 310: an eye displacement sensor; 320: a statistical module; 330: an analysis module; 340: a transmitter; 400: and (5) realizing the product of information statistics.
Detailed Description
So that the manner in which the features and elements of the disclosed embodiments can be understood in detail, a more particular description of the disclosed embodiments, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. In the following description of the technology, for purposes of explanation, numerous details are set forth in order to provide a thorough understanding of the disclosed embodiments. However, one or more embodiments may be practiced without these details. In other instances, well-known structures and devices may be shown in simplified form in order to simplify the drawing.
Referring to fig. 1, in some embodiments, a method for implementing information statistics provided by an embodiment of the present disclosure includes:
step 110: carrying out eye identification on the audience to obtain an eye identification result;
step 120: and carrying out audience information statistics on the environment of the audience according to the eye identification result to obtain an audience information statistical result.
In some embodiments, performing eye recognition may include:
carrying out eye identification in real time; or
Periodically performing eye recognition; or
And carrying out eye identification when a first preset condition is met.
In some embodiments, in the case of performing eye recognition periodically, the recognition period of eye recognition may be considered according to actual conditions such as activity development characteristics of the environment where the viewer is located. Alternatively, the recognition period may be set in advance; for example: the recognition period is set to a specific time period of 1 minute, 5 minutes, 20 minutes, 1 hour, or a specific time period range of 1 minute or more and 20 minutes or less. Alternatively, in the case where the activity performance of the environment in which the audience is located is characterized by a total duration of the performance of 2 hours (for example, the total duration of a movie in a movie theater being 2 hours, or the total duration of a play in a theater being 2 hours, or the total duration of a music in a concert hall being 2 hours, etc.), the identification period may be set to a specific ratio of the total duration of the performance of 20%, 50%, 80%, etc., or a specific ratio range of 20% or more and 80% or less.
In some embodiments, in the case of performing the eye recognition when the first preset condition is satisfied, the first preset condition for performing the eye recognition may be considered according to actual conditions such as the activity development characteristics of the environment where the viewer is located. Alternatively, the first preset condition may be set as: eye recognition is carried out when the activity of the environment where the audience is located starts or reaches a specific value range of 20%, 50%, 80% and the like of the total duration of the performance after the activity starts or is more than or equal to 20% and less than or equal to 80% and the like; or, the first preset condition may be set as: eye recognition is performed just after the activity of the environment in which the viewer is located is finished.
In some embodiments, the first preset condition may be: when the recognition cycle is reached, eye recognition is performed.
In some embodiments, performing eye recognition on the viewer may include:
identifying the eyes of the viewer within a particular range of positions in the environment in which the viewer is located; or
The eyes of the viewer are identified at non-specific locations in the environment in which the viewer is located.
In some embodiments, the specific location range may include a seating area where the audience is located, or further include a peripheral area of the seating area where the audience is located. Alternatively, the size of the peripheral area may be proportional to the size of the seating area, for example: the ratio of the size of the peripheral area to the size of the seating area is 10%, 20%, or within a range of 10% to 20%.
In some embodiments, the non-specific location range may include any area within the environment in which the viewer is located. Alternatively, the non-specific position range described above may be dynamic as long as it can be effectively identified to the viewer.
In some embodiments, performing eye recognition on the viewer to obtain an eye recognition result may include:
under the condition that the eyes of the audience exist in the position range for identification, obtaining an eye identification result as the eyes of the audience; or
When the eyes of the viewer in the identified position range are oriented in the viewing direction, the eye identification result is obtained as the eyes of the viewer.
In some embodiments, when the eyes of the viewer exist in the position range for identification, the eyes of the viewer are identified, and the identification of the viewer can be simply and conveniently realized. Alternatively, when the eyes of the viewer in the identified position range are oriented in the viewing direction, the identification of the eyes of the viewer is confirmed, and the attention or the attention point of the viewer can be more selectively identified.
In some embodiments, performing audience information statistics on the environment where the audience is located according to the eye recognition result may include:
audience information statistics is carried out in real time; or
Periodically counting audience information; or
And carrying out audience information statistics when a second preset condition is met.
In some embodiments, in the case of performing audience information statistics periodically, the statistical period of the audience information statistics may be considered according to actual conditions such as activity development characteristics of the environment where the audience is located. Alternatively, a statistical period may be set in advance; for example: the statistical period is set to a specific time length of 1 minute, 5 minutes, 20 minutes, 1 hour, or a specific time length range of 1 minute or more and 20 minutes or less. Alternatively, in the case where the activity performance of the environment in which the audience is located is characterized by a total duration of the performance of 2 hours (for example, the total duration of a movie in a movie theater being 2 hours, or the total duration of a play in a theater being 2 hours, or the total duration of a music in a concert hall being 2 hours, etc.), the statistical period may be set to a specific ratio of the total duration of the performance of 20%, 50%, 80%, etc., or a specific ratio range of 20% or more and 80% or less.
In some embodiments, in the case of performing audience information statistics when the second preset condition is satisfied, the second preset condition for performing audience information statistics may be considered according to actual conditions such as activity development characteristics of an environment where the audience is located, an identification period for performing eye identification, and the number of obtained eye identification results. Optionally, the second preset condition may be set as: carrying out audience information statistics under the condition that the audience activity starts or reaches specific values of 20%, 50%, 80% and the like of the total duration of the performance after the audience activity starts or reaches specific value ranges of more than or equal to 20% and less than or equal to 80% and the like; or, the second preset condition may be set as: audience information statistics are performed just after the activity of the environment in which the audience is located is finished. Optionally, the second preset condition may be set as: audience information statistics is performed when the number of times of the obtained eye recognition result is a specific value such as 1 time, 2 times, 5 times or the like or a specific value range such as 1 time or more and 5 times or less.
In some embodiments, the second preset condition may be: audience information statistics are performed when the above-mentioned recognition period is reached. Alternatively, the second preset condition may be: and counting audience information when the identification period is reached and the eye identification result exists.
In some embodiments, performing audience information statistics on the environment where the audience is located according to the eye recognition result may include:
for the audience with the eyes identified, the number of audiences in a partial area or the whole area in the environment where the audiences are located is counted.
In some embodiments, the partial area of the environment where the audience is located may be a seating area where all or part of the audience is located, or a part of the seating area.
In some embodiments, the aforementioned audience size may include at least one of:
the number of viewers at a single time;
at least one of the number of viewers and the change in the number of viewers at different times;
a maximum number of viewers;
the minimum number of viewers.
In some embodiments, the number of viewers may be the number of viewers at one or more particular times throughout the course of an activity conducted in the environment in which the viewers are located. Alternatively, in the case that the number of viewers at different time is obtained, the change of the number of viewers may be obtained, and the change may be represented by a change curve, a change value, or the like. Alternatively, the number of viewers may be the maximum number of viewers or the minimum number of viewers in the whole course of the activity performed in the environment in which the viewers are located.
In some embodiments, the different time instants may be consecutive or separated different time instants. Alternatively, a plurality of consecutive different time instants may constitute a time period of a specific time length.
In some embodiments, the above audience information statistics may be directly used as a box office, for example: the audience is counted as a box office of a movie theater, a theater or a concert hall, etc.
In some embodiments, the audience information statistics may also be analyzed to obtain audience information analysis results.
In some embodiments, analyzing the audience information statistics to obtain the audience information analysis result may include:
and determining the audience information analysis result corresponding to the audience information statistical result according to the corresponding relation between the audience information statistical result and the audience information analysis result.
In some embodiments, determining the audience information analysis result corresponding to the audience information statistic result may include:
scoring the watched content according to the scores of the watched content corresponding to the audience information statistical result; or
And grading the watching contents according to the grade of the watching contents corresponding to the audience information statistical result.
In some embodiments, a correspondence between the audience information statistics and the scores of the viewed content may be established, for example: and when the audience information statistical result is that the attendance rate is 100%, the score of the corresponding watching content is 100 points, and when the audience information statistical result is that the attendance rate is 90%, the score of the corresponding watching content is 90 points, and so on. Alternatively, a correspondence between the audience information statistics and the ratings of the viewed content may also be established, for example: the grade of the corresponding watching content is the first grade when the seating rate is more than 85%, the grade of the corresponding watching content is the second grade when the audience information statistical result is less than 85% and more than 70%, and the rest can be done in the same way.
In some embodiments, when analyzing the audience information statistics, the audience information analysis result may also be obtained as a total price in combination with the price, for example: and multiplying the audience number as the audience information statistical result by the ticket money as the price to obtain the total ticket money of the audience information analysis result. Alternatively, the total ticket money may be used as a box office for a movie theater, a concert hall, or the like.
In some embodiments, at least one of the eye recognition results and the audience information statistics may also be reported.
In some embodiments, the reporting may include:
and sending at least one of the eye identification result and the audience information statistical result to a management background.
In some embodiments, at least one of the eye recognition result and the audience information statistics may be transmitted to the management backend in a wired, wireless, or other manner. Alternatively, the management background may perform subsequent processing such as summarizing the eye recognition result and the audience information statistical result.
In some embodiments, the environment of the viewer may be: a movie theater, a theater, or a concert hall.
In some embodiments, an apparatus for implementing statistics of information provided by embodiments of the present disclosure includes a processor and a memory storing program instructions; the processor is configured to perform the above-described method of implementing information statistics when executing program instructions.
Referring to fig. 2, in some embodiments, the structure of the apparatus 200 for implementing information statistics is shown in fig. 2, and includes:
a processor (processor)210 and a memory (memory)220, and may further include a Communication Interface (Communication Interface)230 and a bus 240. The processor 210, the communication interface 230, and the memory 220 may communicate with each other through a bus 240. Communication interface 230 may be used for information transfer. The processor 210 may call logic instructions in the memory 220 to perform the method of implementing information statistics of the above-described embodiments.
In addition, the logic instructions in the memory 220 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products.
The memory 220 is a computer-readable storage medium and can be used for storing software programs, computer-executable programs, such as program instructions/modules corresponding to the methods in the embodiments of the present disclosure. The processor 210 executes the functional application and data processing, i.e. the method for implementing information statistics in the above-described method embodiments, by executing the program instructions/modules stored in the memory 220.
The memory 220 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal device, and the like. Further, the memory 220 may include a high speed random access memory and may also include a non-volatile memory.
Referring to fig. 3, in some embodiments, an apparatus 200 for implementing information statistics provided by the embodiments of the present disclosure includes:
an eye displacement sensor 310 configured to perform eye recognition on the viewer to obtain an eye recognition result;
and the counting module 320 is configured to perform audience information counting on the environment where the audience is located according to the eye identification result to obtain an audience information counting result.
In some embodiments, the eye displacement sensor 310 may be configured to:
carrying out eye identification in real time; or
Periodically performing eye recognition; or
And carrying out eye identification when a first preset condition is met.
In some embodiments, in the case of performing eye recognition periodically, the recognition period of eye recognition may be considered according to actual conditions such as activity development characteristics of the environment where the viewer is located. Alternatively, the recognition period may be set in advance; for example: the recognition period is set to a specific time period of 1 minute, 5 minutes, 20 minutes, 1 hour, or a specific time period range of 1 minute or more and 20 minutes or less. Alternatively, in the case where the activity performance of the environment in which the audience is located is characterized by a total duration of the performance of 2 hours (for example, the total duration of a movie in a movie theater being 2 hours, or the total duration of a play in a theater being 2 hours, or the total duration of a music in a concert hall being 2 hours, etc.), the identification period may be set to a specific ratio of the total duration of the performance of 20%, 50%, 80%, etc., or a specific ratio range of 20% or more and 80% or less.
In some embodiments, in the case of performing the eye recognition when the first preset condition is satisfied, the first preset condition for performing the eye recognition may be considered according to actual conditions such as the activity development characteristics of the environment where the viewer is located. Alternatively, the first preset condition may be set as: eye recognition is carried out when the activity of the environment where the audience is located starts or reaches a specific value range of 20%, 50%, 80% and the like of the total duration of the performance after the activity starts or is more than or equal to 20% and less than or equal to 80% and the like; or, the first preset condition may be set as: eye recognition is performed just after the activity of the environment in which the viewer is located is finished.
In some embodiments, the first preset condition may be: when the recognition cycle is reached, eye recognition is performed.
In some embodiments, the eye displacement sensor 310 may be configured to:
identifying the eyes of the viewer within a particular range of positions in the environment in which the viewer is located; or
The eyes of the viewer are identified at non-specific locations in the environment in which the viewer is located.
In some embodiments, the specific location range may include a seating area where the audience is located, or further include a peripheral area of the seating area where the audience is located. Alternatively, the size of the peripheral area may be proportional to the size of the seating area, for example: the ratio of the size of the peripheral area to the size of the seating area is 10%, 20%, or within a range of 10% to 20%.
In some embodiments, the non-specific location range may include any area within the environment in which the viewer is located. Alternatively, the non-specific position range described above may be dynamic as long as it can be effectively identified to the viewer.
In some embodiments, the eye displacement sensor 310 may be configured to:
under the condition that the eyes of the audience exist in the position range for identification, obtaining an eye identification result as the eyes of the audience; or
When the eyes of the viewer in the identified position range are oriented in the viewing direction, the eye identification result is obtained as the eyes of the viewer.
In some embodiments, when the eyes of the viewer exist in the position range for identification, the eyes of the viewer are identified, and the identification of the viewer can be simply and conveniently realized. Alternatively, when the eyes of the viewer in the identified position range are oriented in the viewing direction, the identification of the eyes of the viewer is confirmed, and the attention or the attention point of the viewer can be more selectively identified.
In some embodiments, the statistics module 320 may be configured to:
audience information statistics is carried out in real time; or
Periodically counting audience information; or
And carrying out audience information statistics when a second preset condition is met.
In some embodiments, in the case of performing audience information statistics periodically, the statistical period of the audience information statistics may be considered according to actual conditions such as activity development characteristics of the environment where the audience is located. Alternatively, a statistical period may be set in advance; for example: the statistical period is set to a specific time length of 1 minute, 5 minutes, 20 minutes, 1 hour, or a specific time length range of 1 minute or more and 20 minutes or less. Alternatively, in the case where the activity performance of the environment in which the audience is located is characterized by a total duration of the performance of 2 hours (for example, the total duration of a movie in a movie theater being 2 hours, or the total duration of a play in a theater being 2 hours, or the total duration of a music in a concert hall being 2 hours, etc.), the statistical period may be set to a specific ratio of the total duration of the performance of 20%, 50%, 80%, etc., or a specific ratio range of 20% or more and 80% or less.
In some embodiments, in the case of performing audience information statistics when the second preset condition is satisfied, the second preset condition for performing audience information statistics may be considered according to actual conditions such as activity development characteristics of an environment where the audience is located, an identification period for performing eye identification, and the number of obtained eye identification results. Optionally, the second preset condition may be set as: carrying out audience information statistics under the condition that the audience activity starts or reaches specific values of 20%, 50%, 80% and the like of the total duration of the performance after the audience activity starts or reaches specific value ranges of more than or equal to 20% and less than or equal to 80% and the like; or, the second preset condition may be set as: audience information statistics are performed just after the activity of the environment in which the audience is located is finished. Optionally, the second preset condition may be set as: audience information statistics is performed when the number of times of the obtained eye recognition result is a specific value such as 1 time, 2 times, 5 times or the like or a specific value range such as 1 time or more and 5 times or less.
In some embodiments, the second preset condition may be: audience information statistics are performed when the above-mentioned recognition period is reached. Alternatively, the second preset condition may be: and counting audience information when the identification period is reached and the eye identification result exists.
In some embodiments, the statistics module 320 may be configured to:
for the audience with the eyes identified, the number of audiences in a partial area or the whole area in the environment where the audiences are located is counted.
In some embodiments, the partial area of the environment where the audience is located may be a seating area where all or part of the audience is located, or a part of the seating area.
In some embodiments, the aforementioned audience size may include at least one of:
the number of viewers at a single time;
at least one of the number of viewers and the change in the number of viewers at different times;
a maximum number of viewers;
the minimum number of viewers.
In some embodiments, the number of viewers may be the number of viewers at one or more particular times throughout the course of an activity conducted in the environment in which the viewers are located. Alternatively, in the case that the number of viewers at different time is obtained, the change of the number of viewers may be obtained, and the change may be represented by a change curve, a change value, or the like. Alternatively, the number of viewers may be the maximum number of viewers or the minimum number of viewers in the whole course of the activity performed in the environment in which the viewers are located.
In some embodiments, the different time instants may be consecutive or separated different time instants. Alternatively, a plurality of consecutive different time instants may constitute a time period of a specific time length.
In some embodiments, the above audience information statistics may be directly used as a box office, for example: the audience is counted as a box office of a movie theater, a theater or a concert hall, etc.
Referring to fig. 4, in some embodiments, an analysis module 330 configured to analyze the audience information statistics to obtain audience information analysis results may be further included.
In some embodiments, the analysis module 330 may be configured to:
and determining the audience information analysis result corresponding to the audience information statistical result according to the corresponding relation between the audience information statistical result and the audience information analysis result.
In some embodiments, the analysis module 330 may be configured to:
scoring the watched content according to the scores of the watched content corresponding to the audience information statistical result; or
And grading the watching contents according to the grade of the watching contents corresponding to the audience information statistical result.
In some embodiments, a correspondence between the audience information statistics and the scores of the viewed content may be established, for example: and when the audience information statistical result is that the attendance rate is 100%, the score of the corresponding watching content is 100 points, and when the audience information statistical result is that the attendance rate is 90%, the score of the corresponding watching content is 90 points, and so on. Alternatively, a correspondence between the audience information statistics and the ratings of the viewed content may also be established, for example: the grade of the corresponding watching content is the first grade when the seating rate is more than 85%, the grade of the corresponding watching content is the second grade when the audience information statistical result is less than 85% and more than 70%, and the rest can be done in the same way.
In some embodiments, when analyzing the audience information statistics, the audience information analysis result may also be obtained as a total price in combination with the price, for example: and multiplying the audience number as the audience information statistical result by the ticket money as the price to obtain the total ticket money of the audience information analysis result. Alternatively, the total ticket money may be used as a box office for a movie theater, a concert hall, or the like.
In some embodiments, the analysis module 330 may be a data processing chip, a single chip, or the like, or include a logic circuit to implement the corresponding functions described above.
Referring to fig. 5, in some embodiments, a transmitter 340 configured to report at least one of the eye recognition result and the audience information statistic result may be further included.
In some embodiments, the transmitter 340 may be configured to:
and sending at least one of the eye identification result and the audience information statistical result to a management background.
In some embodiments, at least one of the eye recognition result and the audience information statistics may be transmitted to the management backend in a wired, wireless, or other manner. Alternatively, the management background may perform subsequent processing such as summarizing the eye recognition result and the audience information statistical result.
In some embodiments, the transmitter 340 may be a data processing chip, a single chip, a signal transmitter, etc., or include logic circuits to implement the respective functions described above.
In some embodiments, eye displacement sensor 310 may be a camera.
In some embodiments, the number of eye displacement sensors 310 may be one or more than one. Alternatively, the position setting may be performed for different eye displacement sensors 310 according to the arrangement, the pattern, and the like of the environment in which the viewer is located, so as to effectively identify the viewer in the above environment.
In some embodiments, the statistical module 320 may be a data processing chip, a single chip, or the like, or include a logic circuit to implement the corresponding functions described above.
In some embodiments, the environment of the viewer may be: movie theaters, concert halls, etc.
Referring to fig. 6, a product 400 for implementing information statistics provided by the embodiment of the present disclosure includes the above apparatus 200 for implementing information statistics.
In some embodiments, the product 400 for implementing information statistics may be a system for implementing information statistics embodied in the form of a server or the like. Optionally, other control circuits, auxiliary circuits, structures, etc. may be further included in the product to support the normal operation of the apparatus 200 for implementing information statistics.
According to the method, the device and the product for realizing information statistics, the eye identification result obtained by eye identification of the audience is used as the basis for audience information statistics of the environment where the audience is located, and the field statistics mode improves the accuracy of the statistics basis and further improves the accuracy of the statistics result.
The disclosed embodiments provide a computer-readable storage medium storing computer-executable instructions configured to perform the above-mentioned method for implementing information statistics.
The disclosed embodiments provide a computer program product comprising a computer program stored on a computer-readable storage medium, the computer program comprising program instructions that, when executed by a computer, cause the computer to perform the above-mentioned method for implementing information statistics.
The computer-readable storage medium described above may be a transitory computer-readable storage medium or a non-transitory computer-readable storage medium.
According to the computer-readable storage medium and the computer program product provided by the embodiment of the disclosure, the eye identification result obtained by identifying the eyes of the audience is used as the basis for carrying out audience information statistics on the environment where the audience is located, and the field statistical mode improves the accuracy of the statistical basis, so that the accuracy of the statistical result is improved.
The technical solution of the embodiments of the present disclosure may be embodied in the form of a software product, which is stored in a storage medium and includes one or more instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present disclosure. And the aforementioned storage medium may be a non-transitory storage medium comprising: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes, and may also be a transient storage medium.
The above description and drawings sufficiently illustrate embodiments of the disclosure to enable those skilled in the art to practice them. Other embodiments may incorporate structural, logical, electrical, process, and other changes. The examples merely typify possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in or substituted for those of others. The scope of the disclosed embodiments includes the full ambit of the claims, as well as all available equivalents of the claims. As used in this application, although the terms "first," "second," etc. may be used in this application to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, unless the meaning of the description changes, so long as all occurrences of the "first element" are renamed consistently and all occurrences of the "second element" are renamed consistently. The first and second elements are both elements, but may not be the same element. Furthermore, the words used in the specification are words of description only and are not intended to limit the claims. As used in the description of the embodiments and the claims, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. Similarly, the term "and/or" as used in this application is meant to encompass any and all possible combinations of one or more of the associated listed. Furthermore, the terms "comprises" and/or "comprising," when used in this application, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. Without further limitation, an element defined by the phrase "comprising one" does not exclude the presence of other like elements in a process, method or device that comprises the element. In this document, each embodiment may be described with emphasis on differences from other embodiments, and the same and similar parts between the respective embodiments may be referred to each other. For methods, products, etc. of the embodiment disclosures, reference may be made to the description of the method section for relevance if it corresponds to the method section of the embodiment disclosure.
Those of skill in the art would appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software may depend upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the disclosed embodiments. It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments disclosed herein, the disclosed methods, products (including but not limited to devices, apparatuses, etc.) may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit may be merely a division of a logical function, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form. Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to implement the present embodiment. In addition, functional units in the embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. In the description corresponding to the flowcharts and block diagrams in the figures, operations or steps corresponding to different blocks may also occur in different orders than disclosed in the description, and sometimes there is no specific order between the different operations or steps. For example, two sequential operations or steps may in fact be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. Each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Claims (34)
1. A method for realizing information statistics is characterized by comprising the following steps:
carrying out eye identification on the audience to obtain an eye identification result;
and carrying out audience information statistics on the environment of the audience according to the eye identification result to obtain an audience information statistical result.
2. The method of claim 1, wherein performing the eye recognition comprises:
performing the eye recognition in real time; or
Periodically performing the eye recognition; or
And when a first preset condition is met, the eye recognition is carried out.
3. The method of claim 1, wherein the eye recognition of the viewer comprises:
identifying the eyes of the viewer within a particular range of positions in the environment in which the viewer is located; or
The eyes of the viewer are identified within a non-specific range of locations in the environment in which the viewer is located.
4. The method of claim 3, wherein the performing eye recognition on the viewer to obtain the eye recognition result comprises:
under the condition that the eyes of the audience exist in the identified position range, obtaining the eye identification result as the eyes of the audience; or
And when the eyes of the viewer in the identified position range face the viewing direction, obtaining the eye identification result as the eyes of the viewer are identified.
5. The method according to any one of claims 1 to 4, wherein performing audience information statistics on the environment of the audience according to the eye recognition result comprises:
carrying out audience information statistics in real time; or
Periodically performing the audience information statistics; or
And carrying out audience information statistics when a second preset condition is met.
6. The method of claim 5, wherein performing audience information statistics on the environment of the audience according to the eye recognition result comprises:
counting the number of audiences in a partial area or a whole area in the environment where the audiences are located aiming at the audiences with the eyes identified.
7. The method of claim 6, wherein the audience size comprises at least one of:
the number of viewers at a single time;
at least one of the number of viewers and the change in the number of viewers at different times;
a maximum number of viewers;
the minimum number of viewers.
8. The method of claim 7, wherein the different time instants are consecutive or separate different time instants.
9. The method of any one of claims 1 to 8, further comprising:
and analyzing the audience information statistical result to obtain an audience information analysis result.
10. The method of claim 9, wherein analyzing the audience information statistics to obtain audience information analysis results comprises:
and determining the audience information analysis result corresponding to the audience information statistical result according to the corresponding relation between the audience information statistical result and the audience information analysis result.
11. The method of claim 10, wherein determining the audience information analysis result corresponding to the audience information statistic comprises:
scoring the watched content according to the score of the watched content corresponding to the audience information statistical result; or
And grading the watching content according to the grade of the watching content corresponding to the audience information statistical result.
12. The method of claim 1, further comprising:
and reporting at least one of the eye identification result and the audience information statistical result.
13. The method of claim 12, wherein the reporting comprises:
and sending at least one of the eye identification result and the audience information statistical result to a management background.
14. The method of claim 1, wherein the environment in which the viewer is located is:
a movie theater, a theater, or a concert hall.
15. An apparatus for implementing statistics of information, comprising a processor and a memory storing program instructions, wherein the processor is configured to perform the method of any of claims 1 to 14 when executing the program instructions.
16. An apparatus for implementing statistics of information, comprising:
the eye displacement sensor is configured to perform eye recognition on the audience so as to obtain an eye recognition result;
and the counting module is configured to perform audience information counting on the environment where the audience is located according to the eye identification result to obtain an audience information counting result.
17. The apparatus of claim 16, wherein the eye displacement sensor is configured to:
performing the eye recognition in real time; or
Periodically performing the eye recognition; or
And when a first preset condition is met, the eye recognition is carried out.
18. The apparatus of claim 16, wherein the eye displacement sensor is configured to:
identifying the eyes of the viewer within a particular range of positions in the environment in which the viewer is located; or
The eyes of the viewer are identified within a non-specific range of locations in the environment in which the viewer is located.
19. The apparatus of claim 18, wherein the eye displacement sensor is configured to:
under the condition that the eyes of the audience exist in the identified position range, obtaining the eye identification result as the eyes of the audience; or
And when the eyes of the viewer in the identified position range face the viewing direction, obtaining the eye identification result as the eyes of the viewer are identified.
20. The apparatus of any of claims 16 to 19, wherein the statistics module is configured to:
carrying out audience information statistics in real time; or
Periodically performing the audience information statistics; or
And carrying out audience information statistics when a second preset condition is met.
21. The apparatus of claim 20, wherein the statistics module is configured to:
counting the number of audiences in a partial area or a whole area in the environment where the audiences are located aiming at the audiences with the eyes identified.
22. The apparatus of claim 21, wherein the audience size comprises at least one of:
the number of viewers at a single time;
at least one of the number of viewers and the change in the number of viewers at different times;
a maximum number of viewers;
the minimum number of viewers.
23. The apparatus of claim 22, wherein the different time instants are consecutive or separate different time instants.
24. The apparatus of any one of claims 16 to 23, further comprising:
and the analysis module is configured to analyze the audience information statistical result to obtain an audience information analysis result.
25. The apparatus of claim 24, wherein the analysis module is configured to:
and determining the audience information analysis result corresponding to the audience information statistical result according to the corresponding relation between the audience information statistical result and the audience information analysis result.
26. The apparatus of claim 25, wherein the analysis module is configured to:
scoring the watched content according to the score of the watched content corresponding to the audience information statistical result; or
And grading the watching content according to the grade of the watching content corresponding to the audience information statistical result.
27. The apparatus of claim 24, wherein the analysis module is a data processing chip or comprises a logic circuit.
28. The apparatus of claim 16, further comprising:
a transmitter configured to report at least one of the eye recognition result and the audience information statistic result.
29. The apparatus of claim 28, wherein the transmitter is configured to:
and sending at least one of the eye identification result and the audience information statistical result to a management background.
30. The device of claim 16, wherein the eye displacement sensor is a camera.
31. The device of claim 16, wherein the number of eye displacement sensors is one or more than one.
32. The apparatus of claim 16, wherein the statistical module is a data processing chip or comprises a logic circuit.
33. The apparatus of claim 16, wherein the environment in which the viewer is located is:
a movie theater, a theater, or a concert hall.
34. A product for implementing statistics of information, comprising an apparatus as claimed in any one of claims 15 or 16 to 33.
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| PCT/CN2021/071705 WO2021147757A1 (en) | 2020-01-20 | 2021-01-14 | Method, device, and product for performing information statistics |
| TW110101664A TW202131286A (en) | 2020-01-20 | 2021-01-15 | Method, device, and product for performing information statistics |
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| CN202010073043.8A CN113139411A (en) | 2020-01-20 | 2020-01-20 | Method, device and product for realizing information statistics |
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