CN112818644A - Real-time conversion system for writing revision format - Google Patents
Real-time conversion system for writing revision format Download PDFInfo
- Publication number
- CN112818644A CN112818644A CN202010020431.XA CN202010020431A CN112818644A CN 112818644 A CN112818644 A CN 112818644A CN 202010020431 A CN202010020431 A CN 202010020431A CN 112818644 A CN112818644 A CN 112818644A
- Authority
- CN
- China
- Prior art keywords
- format
- revision
- composition
- time conversion
- real
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000006243 chemical reaction Methods 0.000 title claims abstract description 31
- 238000001914 filtration Methods 0.000 claims abstract description 42
- 230000008859 change Effects 0.000 claims abstract description 10
- 238000001514 detection method Methods 0.000 claims abstract description 7
- 230000011218 segmentation Effects 0.000 claims description 24
- 230000002146 bilateral effect Effects 0.000 claims description 16
- 238000012545 processing Methods 0.000 claims description 15
- 238000003384 imaging method Methods 0.000 claims description 11
- 238000012544 monitoring process Methods 0.000 claims description 11
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000000034 method Methods 0.000 abstract description 8
- 230000000007 visual effect Effects 0.000 abstract description 2
- 230000003044 adaptive effect Effects 0.000 description 7
- 238000004458 analytical method Methods 0.000 description 6
- 238000010183 spectrum analysis Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000001360 synchronised effect Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000001228 spectrum Methods 0.000 description 2
- 238000013473 artificial intelligence Methods 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000003909 pattern recognition Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000003595 spectral effect Effects 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/136—Segmentation; Edge detection involving thresholding
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/194—Segmentation; Edge detection involving foreground-background segmentation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
Landscapes
- Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Image Processing (AREA)
Abstract
The invention relates to a real-time conversion system of writing revision format, comprising: the format switching equipment is used for controlling the currently running document application program to change from the non-revised display format in the writing state to the revised display format in the revising state when the shape of the person to be revised is received, and controlling the currently running document application program to change from the revised display format in the revising state to the non-revised display format in the writing state when the shape of the person to be revised is received; and the signal identification equipment is used for sending a revision execution command when receiving the appearance of the revision person detected in the current filtering image, and sending a composition execution command when receiving the appearance of the composition person detected in the current filtering image. The real-time conversion system for the writing and revising format is simple in principle, convenient and practical. Because the self-adaptive conversion of the writing revision format is realized based on the visual detection result of the current user, the manual operation procedures of the user are reduced.
Description
Technical Field
The invention relates to the field of desktop computers, in particular to a real-time conversion system for writing and revising formats.
Background
The desktop computer is an independent and separated computer, is completely unrelated to other components, has a larger volume compared with a notebook computer and a netbook, is generally relatively independent from a host computer, a display and other equipment, and generally needs to be placed on a computer desk or a special worktable. Hence the name desktop.
Desktop computer's advantage is just durable to and the price is substantial, compares with the notebook, and the configuration is better under the same price prerequisite, and the thermal diffusivity is better, and the accessory is relatively cheap if damaging the change price, and the shortcoming just is: heavy and large in power consumption. A Computer (Computer) is a machine that electronically processes data according to a series of instructions. The computer can be divided into two parts: software systems and hardware systems. The first computer ENIAC announces birth at 2/14/1946.
Disclosure of Invention
The invention has at least the following two important points:
(1) the method is characterized in that self-adaptive switching between a writing format and a revision format is realized for a currently running document for a writer or a reviser according to the condition that a user using a desktop computer is present, so that convenience is provided for the user of a document application program;
(2) when the figure of the person to be revised is detected in the received image, a revision execution command is issued, and when the figure of the person to be composed is detected in the received image, a composition execution command is issued.
According to an aspect of the present invention, there is provided a composition revision format real-time conversion system, the system including:
the monitoring video recording equipment is arranged above the desktop computer and is used for executing video recording operation on the working environment of the desktop computer so as to obtain a plurality of continuous image frames, and different imaging moments respectively correspond to different image frames;
the bilateral filtering equipment is connected with the monitoring video recording equipment and is used for executing bilateral filtering processing on the current image frame corresponding to the current imaging moment so as to obtain a current filtering image;
a format switching device for controlling a currently running document application to change from a non-revised display format in a written state to a revised display format in a revised state upon receipt of a revised personnel shape;
the format switching device is also used for controlling the currently running document application program to change from the revised display format in the revised state to the non-revised display format in the written state when the outline of the writer is received;
the signal identification equipment is respectively connected with the bilateral filtering equipment and the format switching equipment, and is used for sending a revision execution command when detecting the shape of a revision person in the current filtering image, and is also used for sending a composition execution command when detecting the shape of a composition person in the current filtering image;
SDRAM memory device connected to the signal identifying device for storing the figure of each reviser and the figure of each writer;
the SDRAM storage device is also connected with the monitoring video recording device and is used for temporarily storing different image frames corresponding to different imaging moments;
the signal identification device, the bilateral filtering device and the format switching device are respectively realized by selecting ASIC chips with different models according to respective maximum data bandwidth.
The real-time conversion system for the writing and revising format is simple in principle, convenient and practical. Because the self-adaptive conversion of the writing revision format is realized based on the visual detection result of the current user, the manual operation procedures of the user are reduced.
Detailed Description
The embodiment of the writing revision format real-time conversion system of the present invention will be described in detail below.
The most basic content of signal processing is transformation, filtering, modulation, demodulation, detection, and spectral analysis and estimation. Transforms such as fourier transforms, sine transforms, cosine transforms, walsh transforms of the type, and the like; the filtering comprises high-pass filtering, low-pass filtering, band-pass filtering, wiener filtering, Kalman filtering, linear filtering, nonlinear filtering, adaptive filtering and the like; the spectral analysis aspect includes the analysis of deterministic signals and the analysis of stochastic signals, and the most common study is the analysis of stochastic signals, also known as statistical signal analysis or estimation, which is usually further divided into linear and nonlinear spectral estimation; the spectrum estimation comprises periodogram estimation, maximum entropy spectrum estimation and the like; with the complexity of signal types, when the signals required to be analyzed cannot meet the conditions of Gaussian distribution, non-minimum phase and the like, a high-order spectral analysis method is available. The high-order spectrum analysis can provide phase information, non-Gaussian information and non-linear information of the signal; adaptive filtering and equalization are also a large area of application research. The adaptive filtering includes transversal LMS adaptive filtering, lattice adaptive filtering, adaptive cancellation filtering, adaptive equalization, etc. Further, array signal processing and the like are also available for the array signal.
Signal processing is the fundamental theory and technique of telecommunications. Its mathematical theory includes equation theory, function theory, number theory, random process theory, least square method and optimization theory, etc. its technology support is circuit analysis, synthesis and electronic computer technology. Signal processing has a close relationship with modern pattern recognition, artificial intelligence, neural network calculation, multimedia information processing and the like, and the signal processing closely links basic theory and engineering application. Therefore, the signal processing is a subject which not only has a complex mathematical analysis background, but also has a wide practical engineering prospect.
At present, in the use of document application programs, a writing format and a revising format are generally provided for different persons who shoulder different tasks to select and use, and the trouble is that the mutual conversion of the writing format and the revising format is carried out in a manual mode, and because the writing format and the revising format are not common options of the document application programs, related operation buttons are hidden deeply and are not easy to operate.
In order to overcome the defects, the invention builds a real-time conversion system of the writing revision format, and can effectively solve the corresponding technical problem.
The real-time conversion system of the writing revision format shown according to the embodiment of the present invention includes:
the monitoring video recording equipment is arranged above the desktop computer and is used for executing video recording operation on the working environment of the desktop computer so as to obtain a plurality of continuous image frames, and different imaging moments respectively correspond to different image frames;
the bilateral filtering equipment is connected with the monitoring video recording equipment and is used for executing bilateral filtering processing on the current image frame corresponding to the current imaging moment so as to obtain a current filtering image;
a format switching device for controlling a currently running document application to change from a non-revised display format in a written state to a revised display format in a revised state upon receipt of a revised personnel shape;
the format switching device is also used for controlling the currently running document application program to change from the revised display format in the revised state to the non-revised display format in the written state when the outline of the writer is received;
the signal identification equipment is respectively connected with the bilateral filtering equipment and the format switching equipment, and is used for sending a revision execution command when detecting the shape of a revision person in the current filtering image, and is also used for sending a composition execution command when detecting the shape of a composition person in the current filtering image;
SDRAM memory device connected to the signal identifying device for storing the figure of each reviser and the figure of each writer;
the SDRAM storage device is also connected with the monitoring video recording device and is used for temporarily storing different image frames corresponding to different imaging moments;
the signal identification device, the bilateral filtering device and the format switching device are respectively realized by selecting ASIC chips with different models according to respective maximum data bandwidth.
Next, the detailed structure of the writing revision format real-time conversion system of the present invention will be further described.
In the real-time conversion system for the composition revision format, further comprising:
and the deviation degree identification equipment is connected with the monitoring video recording equipment and is used for receiving the current image frame corresponding to the current imaging moment and acquiring each brightness value of each pixel point of the current image frame.
In the composition revision format real-time conversion system:
the deviation degree identification device is further configured to perform a standard deviation calculation on the respective luminance values, taking the obtained numerical value of the standard deviation as reference data.
In the composition revision format real-time conversion system:
the deviation degree identification device is further configured to perform uniform segmentation on the current image frame based on the reference data to obtain a plurality of segmentation blocks, detect three noise types with amplitudes ranked first three in the segmentation blocks for each segmentation block, determine signal-to-noise ratios of the segmentation blocks based on the amplitudes respectively corresponding to the three noise types, and determine a threshold size for performing background segmentation on the segmentation blocks based on the signal-to-noise ratios of the segmentation blocks.
In the real-time conversion system for the composition revision format, further comprising:
and the background stripping device is respectively connected with the bilateral filtering device and the deviation degree identification device and is used for executing background segmentation processing on each segmentation block based on a determined threshold value so as to obtain a corresponding block to be identified and fitting each block to be identified of each segmentation block so as to obtain an image to be identified.
In the composition revision format real-time conversion system:
the background stripping device is also used for replacing the current image frame with the obtained image to be identified and sending the image to be identified to the bilateral filtering device.
In the composition revision format real-time conversion system:
the larger the reference data is, the larger the number of divided blocks obtained by uniformly dividing the current image frame is.
In the composition revision format real-time conversion system:
the deviation degree identification device and the background peeling device are realized by adopting different SOC chips.
In the composition revision format real-time conversion system:
the background stripping device is realized by adopting a DSP processing chip, and the DSP processing chip also comprises a built-in storage unit which is respectively connected with the signal-to-noise ratio detection device and the background stripping device so as to store each threshold value of each segmentation block determined by the signal-to-noise ratio detection device.
In addition, the SDRAM: synchronous Dynamic Random Access Memory, wherein synchronization refers to that a Synchronous clock is required for Memory work, and internal command sending and data transmission are based on the Synchronous clock; dynamic means that the memory array needs to be refreshed continuously to ensure that data is not lost; random means that data are not stored linearly and sequentially, but data are read and written by freely appointing addresses. The clock frequency of the SDR SDRAM is the frequency of data storage. The operating voltage of the SDRAM is 3.3V.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (9)
1. A system for real-time conversion of a composition revision format, comprising:
the monitoring video recording equipment is arranged above the desktop computer and is used for executing video recording operation on the working environment of the desktop computer so as to obtain a plurality of continuous image frames, and different imaging moments respectively correspond to different image frames;
the bilateral filtering equipment is connected with the monitoring video recording equipment and is used for executing bilateral filtering processing on the current image frame corresponding to the current imaging moment so as to obtain a current filtering image;
a format switching device for controlling a currently running document application to change from a non-revised display format in a written state to a revised display format in a revised state upon receipt of a revised personnel shape;
the format switching device is also used for controlling the currently running document application program to change from the revised display format in the revised state to the non-revised display format in the written state when the outline of the writer is received;
the signal identification equipment is respectively connected with the bilateral filtering equipment and the format switching equipment, and is used for sending a revision execution command when detecting the shape of a revision person in the current filtering image, and is also used for sending a composition execution command when detecting the shape of a composition person in the current filtering image;
SDRAM memory device connected to the signal identifying device for storing the figure of each reviser and the figure of each writer;
the SDRAM storage device is also connected with the monitoring video recording device and is used for temporarily storing different image frames corresponding to different imaging moments;
the signal identification device, the bilateral filtering device and the format switching device are respectively realized by selecting ASIC chips with different models according to respective maximum data bandwidth.
2. The composition revision format real-time conversion system of claim 1, the system further comprising:
and the deviation degree identification equipment is connected with the monitoring video recording equipment and is used for receiving the current image frame corresponding to the current imaging moment and acquiring each brightness value of each pixel point of the current image frame.
3. The composition revision format real-time conversion system of claim 2, wherein:
the deviation degree identification device is further configured to perform a standard deviation calculation on the respective luminance values, taking the obtained numerical value of the standard deviation as reference data.
4. The composition revision format real-time conversion system of claim 3, wherein:
the deviation degree identification device is further configured to perform uniform segmentation on the current image frame based on the reference data to obtain a plurality of segmentation blocks, detect three noise types with amplitudes ranked first three in the segmentation blocks for each segmentation block, determine signal-to-noise ratios of the segmentation blocks based on the amplitudes respectively corresponding to the three noise types, and determine a threshold size for performing background segmentation on the segmentation blocks based on the signal-to-noise ratios of the segmentation blocks.
5. The composition revision format real-time conversion system of claim 4, the system further comprising:
and the background stripping device is respectively connected with the bilateral filtering device and the deviation degree identification device and is used for executing background segmentation processing on each segmentation block based on a determined threshold value so as to obtain a corresponding block to be identified and fitting each block to be identified of each segmentation block so as to obtain an image to be identified.
6. The composition revision format real-time conversion system of claim 5, wherein:
the background stripping device is also used for replacing the current image frame with the obtained image to be identified and sending the image to be identified to the bilateral filtering device.
7. The composition revision format real-time conversion system of claim 6, wherein:
the larger the reference data is, the larger the number of divided blocks obtained by uniformly dividing the current image frame is.
8. The composition revision format real-time conversion system of claim 7, wherein:
the deviation degree identification device and the background peeling device are realized by adopting different SOC chips.
9. The composition revision format real-time conversion system of claim 8, wherein:
the background stripping device is realized by adopting a DSP processing chip, and the DSP processing chip also comprises a built-in storage unit which is respectively connected with the signal-to-noise ratio detection device and the background stripping device so as to store each threshold value of each segmentation block determined by the signal-to-noise ratio detection device.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010020431.XA CN112818644A (en) | 2020-01-09 | 2020-01-09 | Real-time conversion system for writing revision format |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010020431.XA CN112818644A (en) | 2020-01-09 | 2020-01-09 | Real-time conversion system for writing revision format |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112818644A true CN112818644A (en) | 2021-05-18 |
Family
ID=75852952
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010020431.XA Pending CN112818644A (en) | 2020-01-09 | 2020-01-09 | Real-time conversion system for writing revision format |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112818644A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1426020A (en) * | 2001-12-13 | 2003-06-25 | 中国科学院自动化研究所 | Far distance identity identifying method based on walk |
| CN101140623A (en) * | 2007-09-29 | 2008-03-12 | 华为技术有限公司 | A method and system for video object recognition based on support vector machine |
| CN107464322A (en) * | 2017-08-09 | 2017-12-12 | 郝建 | A kind of method based on recognition of face security monitoring personnel's access |
| CN109389031A (en) * | 2018-08-27 | 2019-02-26 | 浙江大丰实业股份有限公司 | Performance personnel's automatic positioning mechanism |
| CN109670391A (en) * | 2018-06-13 | 2019-04-23 | 河南理工大学 | Wisdom lighting device and Dynamic Recognition data processing method based on machine vision |
| CN109754510A (en) * | 2019-01-11 | 2019-05-14 | 王爱云 | Computer monitoring display platform |
-
2020
- 2020-01-09 CN CN202010020431.XA patent/CN112818644A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1426020A (en) * | 2001-12-13 | 2003-06-25 | 中国科学院自动化研究所 | Far distance identity identifying method based on walk |
| CN101140623A (en) * | 2007-09-29 | 2008-03-12 | 华为技术有限公司 | A method and system for video object recognition based on support vector machine |
| CN107464322A (en) * | 2017-08-09 | 2017-12-12 | 郝建 | A kind of method based on recognition of face security monitoring personnel's access |
| CN109670391A (en) * | 2018-06-13 | 2019-04-23 | 河南理工大学 | Wisdom lighting device and Dynamic Recognition data processing method based on machine vision |
| CN109389031A (en) * | 2018-08-27 | 2019-02-26 | 浙江大丰实业股份有限公司 | Performance personnel's automatic positioning mechanism |
| CN109754510A (en) * | 2019-01-11 | 2019-05-14 | 王爱云 | Computer monitoring display platform |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Li et al. | A multiwavelet-based time-varying model identification approach for time–frequency analysis of EEG signals | |
| CN109089160B (en) | Video analysis system and method for food processing violation behaviors of restaurants in colleges and universities | |
| Li et al. | The co-movement and causality between the US housing and stock markets in the time and frequency domains | |
| CN106909888B (en) | Face key point tracking system and method applied to mobile equipment terminal | |
| US6963667B2 (en) | System and method for signal matching and characterization | |
| US6807305B2 (en) | System and method for image pattern matching using a unified signal transform | |
| Yang et al. | Heterogeneous recurrence monitoring and control of nonlinear stochastic processes | |
| US20210319684A1 (en) | Method and system for acquiring item placing state | |
| CN110400052A (en) | The monitoring method and device of Key Performance Indicator | |
| US4338677A (en) | Multi-clock data capture circuit | |
| CN110348326A (en) | The family health care information processing method of the identification of identity-based card and the access of more equipment | |
| US10523696B2 (en) | Log analyzing system and method | |
| CN110084186A (en) | A kind of warehouse remote supervisory method and device | |
| CN112818644A (en) | Real-time conversion system for writing revision format | |
| CN108984097B (en) | Touch operation method, device, storage medium and electronic device | |
| CN109408856A (en) | Ground scaling method, device, equipment and the storage medium of polyphaser | |
| Wong et al. | Deep learning of sparse patterns in medical IoT for efficient big data harnessing | |
| CN111292274A (en) | Photovoltaic module image fusion method based on spectral residual significance model | |
| Li et al. | Cross-domain gesture recognition via WiFi signals with deep learning | |
| CN116610912A (en) | Quick detection method and system for electric energy quality based on lifting wavelet and FFT | |
| CN112183363A (en) | Intelligent analysis method and system for safety behaviors of subway engineering constructors | |
| Zhang et al. | Design and implementation of electronic image stabilization system based on dual-core DSP | |
| Kokkinos et al. | Advances in texture analysis: energy dominant component & multiple hypothesis testing | |
| CN111062829A (en) | Dynamic reference data analysis device | |
| CN109246781A (en) | A kind of method based on signal strength output information, storage equipment and intelligent terminal |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20211103 Address after: 225300 601a, building 1, No. 98, Yingchun East Road, hailing Industrial Park, Taizhou City, Jiangsu Province Applicant after: Taizhou langjiaxin Network Technology Co.,Ltd. Address before: No.306 Xuefu Road, Jingkou District, Zhenjiang City, Jiangsu Province, 212013 Applicant before: Zhao Guoliang |
|
| TA01 | Transfer of patent application right | ||
| AD01 | Patent right deemed abandoned |
Effective date of abandoning: 20221206 |
|
| AD01 | Patent right deemed abandoned |