CN114401436A - Video cache sorting method based on edge calculation - Google Patents
Video cache sorting method based on edge calculation Download PDFInfo
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- CN114401436A CN114401436A CN202210124476.0A CN202210124476A CN114401436A CN 114401436 A CN114401436 A CN 114401436A CN 202210124476 A CN202210124476 A CN 202210124476A CN 114401436 A CN114401436 A CN 114401436A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/433—Content storage operation, e.g. storage operation in response to a pause request, caching operations
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/4302—Content synchronisation processes, e.g. decoder synchronisation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/435—Processing of additional data, e.g. decrypting of additional data, reconstructing software from modules extracted from the transport stream
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
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Abstract
The invention discloses a video cache sorting method based on edge calculation, which comprises the following steps: s1, leading the video signal input into the video buffer arrangement system by the synchronous blanking signal separation module, and respectively transmitting the effective frame data input and the clock of the effective input video data to the video data buffer by the synchronous blanking signal separation module; s2, acquiring a video file from a storage device by using the video meta-information acquisition module and analyzing video meta-information corresponding to the video file; s3, starting a video processor; s4, carrying out service migration on the reference video signal, and carrying out availability update on the service; s5, using the above update to obtain edge metadata management data, the edge metadata management data is synchronized to the edge metadata memory through the metadata sent by the controller of the reference service, thereby accurately controlling the video content and providing an efficient and standardized method for video data exchange and video data extraction.
Description
Technical Field
The invention belongs to the technical field of video processing, and particularly relates to a video cache sorting method based on edge calculation.
Background
With the development of society and the progress of technology, the quality and bandwidth of the network are greatly improved, and the network video becomes the first choice for users to watch the video. Due to the influence of various factors, most users can download network videos to local storage equipment in advance for being called out and watched at any time, and the main application occasions include the following points: (1) when broadband networks are not reachable or the usage costs (mobile traffic) are expensive; (2) long distance travel cannot contact broadband networks (e.g., sitting on an airplane, going out of the sea, going out of the country, being in a deep mountain, etc.); (3) when the broadband network is unstable (e.g., tunnel, far-trip, at sea).
The offline downloaded videos are not in a uniform format due to complex sources, the video meta-information is often incomplete, if the offline videos are huge in quantity, the videos are difficult to manage due to incomplete video meta-information, and poor experience is brought to users when the videos are searched in a traversal mode.
First, the conventional system lacks a standardized generation method for video information data, and further lacks a missing record using video information data. The application of the existing monitoring video is integrated into the daily work of administrative departments, reconnaissance departments and the like, but the manual mode is still adopted for browsing and troubleshooting, so that the time and the labor are wasted.
Secondly, the problems of cross-domain and cross-department sharing of video information and interconnection and intercommunication with other information systems are prominent, cross-system languages are not uniform, information becomes an isolated island, and construction and application of large data and large information systems are limited.
Thirdly, the problem of storage and transmission is that a large amount of storage space and transmission bandwidth are saved, so that a large amount of video data has to be compressed, which not only causes the problem of image blurring, but also causes the problem that a fixed compression ratio mode is not flexible enough during video compression, and a large amount of storage space and transmission bandwidth have to be occupied.
Meanwhile, the problem of high-efficiency calculation exists, and because the video monitoring requires the multifunctionality and the real-time performance of calculation and the particularity of video data causes the increase of the calculation cost, a unified video calculation theory and a unified framework for the video monitoring need to be constructed.
Video informatization datamation application links lack unified standards and specifications. All these problems are based on the incomprehension of video content, and there is no efficient, standardized method of video data exchange and video data extraction.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides a video cache sorting method based on edge calculation, which synchronizes metadata sent by a controller of a reference service to an edge metadata memory based on edge calculation to perform accurate data caching and sorting, ensures that each link of video information-based datamation application has unified standard and specification, accurately controls video content, and provides an efficient and standardized method for video data exchange and video data extraction.
In order to achieve the purpose, the invention provides the following technical scheme:
a video cache sorting method based on edge calculation is applied to a video cache sorting system, the video cache sorting system comprises a synchronous blanking signal separation module, a video processor and a video data cache, the synchronous blanking signal separation module, the video processor and the video data cache are in telecommunication connection, and the video data cache is arranged between the synchronous blanking signal separation module and the video processor;
the video cache sorting method comprises the following steps:
s1, leading the video signal input into the video buffer arrangement system by the synchronous blanking signal separation module, respectively transmitting the clock of the effective frame data input and the effective input video data to the video data buffer by the synchronous blanking signal separation module, receiving the clock of the effective output video data sent by the video processor by the video data buffer, simultaneously sending the effective frame data output to the video processor, setting a video buffer area in the video data buffer, and outputting the data processed by the video processor as the output video signal;
s2, the video cache arrangement system further comprises a video meta-information acquisition module, the video meta-information acquisition module is used for acquiring a video file from the storage device and analyzing video meta-information corresponding to the video file, and the video file comprises video data and audio data;
s3, starting a video processor, outputting a sequence number of a buffer area and selecting a bidirectional prediction frame signal to point to a video buffer area, sequentially reading data by a plurality of video buffer areas according to a sequence, inputting the sequence number of the buffer area, selecting a video signal by a signal under Linux, sequentially reading data by a plurality of video buffer areas according to the sequence when starting, and writing data in the same sequence;
s4, carrying out service migration on the reference video signal, and carrying out availability update on the service;
installing a flow rule, uninstalling the flow rule or updating the parameters of the existing flow rule according to the updating request;
synchronously installing or unloading tasks according to the request;
distributing different weights for different edge calculation tasks in the task edge calculation table so as to process the edge calculation tasks according to the weights;
and S5, acquiring edge metadata management data by utilizing the updating, wherein the edge metadata management data are synchronized to an edge metadata memory through metadata sent by a controller of the reference service, and the edge metadata memory stores and stores the resource metadata.
Preferably, the bidirectional prediction frame signal indicates whether the target video buffer corresponding to the buffer serial number selection signal is input each time points to the corresponding video buffer, and if the target video buffer is pointed to the corresponding video buffer, the currently pointed video buffer serial number is not changed, that is, the value of the current video buffer is read again; on the contrary, if the pointing direction is the same (repeated), the sequence number of the currently pointed video buffer area is not changed, that is, the value of the current video buffer area is read again, that is, the current video buffer area is covered by the current frame data.
Preferably, the video cache arrangement system includes a communication module, the communication module is used for converting and picking up the frequency numbers, the communication module includes an audio data acquisition unit and a video analysis unit, the video analysis unit is used for acquiring the audio data corresponding to the video file, and the audio data acquisition unit is used for receiving the audio data.
Preferably, the communication module includes a vector processing unit, a sequence generating unit, and a summary synthesizing unit, and the vector processing unit is configured to process video data through a model to obtain a vector set corresponding to the video data.
Preferably, the sequence generating module is configured to process the vector set through a second model to obtain a target sequence; and the abstract synthesis module is used for generating a video abstract of the video data according to the target sequence.
Preferably, the video cache arrangement system further comprises an edge metadata management module, and the edge metadata management module stores the update change data through an edge node; the edge metadata management module includes edge data nodes.
Preferably, the edge node includes an edge metadata management and an edge metadata storage, and the edge node storage includes: the edge metadata management receives the change data sent by the edge controller;
the edge metadata management synchronizing the change data to the edge metadata store; the edge metadata store maintains the change data.
Preferably, the updating in step S4 includes: initializing a kernel of at least one edge node; sending the initialization kernel and training samples to at least one application program device based on multi-edge calculation; obtaining a parameter fed back by the at least one multi-edge computing-based application device, wherein the parameter is obtained by back propagation of the at least one multi-edge computing-based application device through a neural network; and updating the availability of the service according to the parameter and the preset learning rate.
Preferably, in step S5, assigning different weights to different edge calculation tasks in the task edge calculation table to process the edge calculation task according to the weights includes: arranging the edge calculation processing standards of at least one edge node in the weight in a descending order to generate a task edge calculation table; and sequentially accessing at least one edge node in the weight according to the sequence of the task edge calculation table.
The invention has the technical effects and advantages that:
the invention provides a video cache sorting method based on edge calculation, which is characterized in that in an original video cache sorting system, a video meta-information acquisition module is added by simple configuration of a synchronous blanking signal separation module, a video processor and a video data cache, service migration is carried out on a reference video signal by using the video meta-information acquisition module, availability updating is carried out on the service, metadata sent by a controller of the reference service is synchronized into an edge metadata memory based on edge calculation, accurate data caching and sorting are carried out, each link of video informatization datamation application is ensured to have uniform standard and specification, accurate control on video content is realized, and an efficient and standardized video data exchange and video data extraction method is provided.
Drawings
FIG. 1 is a flow chart of a video cache sorting method based on edge calculation according to the present invention;
fig. 2 is a block diagram of a video cache sorting system based on edge calculation according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a video cache sorting method based on edge calculation, which is applied to a video cache sorting system, wherein the video cache sorting system comprises a synchronous blanking signal separation module, a video processor and a video data buffer, the synchronous blanking signal separation module, the video processor and the video data buffer are in telecommunication connection, and the video data buffer is arranged between the synchronous blanking signal separation module and the video processor;
the video cache sorting method comprises the following steps:
s1, leading the video signal input into the video buffer arrangement system by the synchronous blanking signal separation module, respectively transmitting the clock of the effective frame data input and the effective input video data to the video data buffer by the synchronous blanking signal separation module, receiving the clock of the effective output video data sent by the video processor by the video data buffer, simultaneously sending the effective frame data output to the video processor, setting a video buffer area in the video data buffer, and outputting the data processed by the video processor as the output video signal;
s2, the video cache arrangement system further comprises a video meta-information acquisition module, the video meta-information acquisition module is used for acquiring a video file from the storage device and analyzing video meta-information corresponding to the video file, and the video file comprises video data and audio data;
s3, starting a video processor, outputting a sequence number of a buffer area and selecting a bidirectional prediction frame signal to point to a video buffer area, sequentially reading data by a plurality of video buffer areas according to a sequence, inputting the sequence number of the buffer area, selecting a video signal by a signal under Linux, sequentially reading data by a plurality of video buffer areas according to the sequence when starting, and writing data in the same sequence;
s4, migrating the service with reference to the video signal, and updating the availability of the service:
installing a flow rule, uninstalling the flow rule or updating the parameters of the existing flow rule according to the updating request;
synchronously installing or unloading tasks according to the request;
distributing different weights for different edge calculation tasks in the task edge calculation table so as to process the edge calculation tasks according to the weights;
and S5, acquiring edge metadata management data by utilizing the updating, wherein the edge metadata management data are synchronized to an edge metadata memory through metadata sent by a controller of the reference service, and the edge metadata memory stores and stores the resource metadata.
Specifically, the bidirectional prediction frame signal indicates whether a target video buffer corresponding to each input buffer serial number selection signal points to a corresponding video buffer at the same time, and if the target video buffer points to the corresponding video buffer, the serial number of the currently pointed video buffer is not changed, that is, the value of the current video buffer is read again; on the contrary, if the pointing direction is the same (repeated), the sequence number of the currently pointed video buffer area is not changed, that is, the value of the current video buffer area is read again, that is, the current video buffer area is covered by the current frame data.
Specifically, the video cache arrangement system comprises a communication module, the communication module is used for converting and picking up the frequency numbers, the communication module comprises an audio data acquisition unit and a video analysis unit, the video analysis unit is used for acquiring the audio data corresponding to the video file, and the audio data acquisition unit is used for receiving the audio data.
Specifically, the communication module includes a vector processing unit, a sequence generating unit, and an abstract synthesizing unit, where the vector processing unit is configured to process video data through a model to obtain a vector set corresponding to the video data.
Specifically, the sequence generating module is configured to process the vector set through a second model to obtain a target sequence; and the abstract synthesis module is used for generating a video abstract of the video data according to the target sequence.
Specifically, the video cache arrangement system further comprises an edge metadata management module, and the edge metadata management module stores updated change data through edge nodes; the edge metadata management module includes edge data nodes.
Specifically, the edge node includes edge metadata management and edge metadata storage, and the edge node storage includes: the edge metadata management receives the change data sent by the edge controller; the edge metadata management synchronizing the change data to the edge metadata store; the edge metadata store maintains the change data.
Specifically, the updating in step S4 includes: initializing a kernel of at least one edge node; sending the initialization kernel and training samples to at least one application program device based on multi-edge calculation; obtaining a parameter fed back by the at least one multi-edge computing-based application device, wherein the parameter is obtained by back propagation of the at least one multi-edge computing-based application device through a neural network; and updating the availability of the service according to the parameter and the preset learning rate.
Specifically, in step S5, assigning different weights to different edge calculation tasks in the task edge calculation table to process the edge calculation task according to the weights includes: arranging the edge calculation processing standards of at least one edge node in the weight in a descending order to generate a task edge calculation table; and sequentially accessing at least one edge node in the weight according to the sequence of the task edge calculation table.
In summary, the video cache arrangement method based on edge calculation provided by the invention adds the video meta-information acquisition module in the original video cache arrangement system by simple configuration of the synchronous blanking signal separation module, the video processor and the video data cache, performs service migration on the reference video signal by using the video meta-information acquisition module, performs availability update on the service, synchronizes the metadata sent by the controller of the reference service to the edge metadata memory based on edge calculation, performs accurate data caching and arrangement, ensures that each link of video informatization datamation application has unified standard and specification, accurately controls the video content, and provides an efficient and standardized method for video data exchange and video data extraction.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments or portions thereof without departing from the spirit and scope of the invention.
Claims (9)
1. A video cache sorting method based on edge calculation is applied to a video cache sorting system, the video cache sorting system comprises a synchronous blanking signal separation module, a video processor and a video data cache, the synchronous blanking signal separation module, the video processor and the video data cache are in telecommunication connection, the video data cache is arranged between the synchronous blanking signal separation module and the video processor,
the video cache sorting method is characterized by comprising the following steps:
s1, leading the video signal input into the video buffer arrangement system by the synchronous blanking signal separation module, respectively transmitting the clock of the effective frame data input and the effective input video data to the video data buffer by the synchronous blanking signal separation module, receiving the clock of the effective output video data sent by the video processor by the video data buffer, simultaneously sending the effective frame data output to the video processor, setting a video buffer area in the video data buffer, and outputting the data processed by the video processor as the output video signal;
s2, the video cache arrangement system further comprises a video meta-information acquisition module, the video meta-information acquisition module is used for acquiring a video file from the storage device and analyzing video meta-information corresponding to the video file, and the video file comprises video data and audio data;
s3, starting a video processor, outputting a sequence number of a buffer area and selecting a bidirectional prediction frame signal to point to a video buffer area, sequentially reading data by a plurality of video buffer areas according to a sequence, inputting the sequence number of the buffer area, selecting a video signal by a signal under Linux, sequentially reading data by a plurality of video buffer areas according to the sequence when starting, and writing data in the same sequence;
s4, migrating the service with reference to the video signal, and updating the availability of the service:
installing a flow rule, uninstalling the flow rule or updating the parameters of the existing flow rule according to the updating request;
synchronously installing or unloading tasks according to the request;
distributing different weights for different edge calculation tasks in the task edge calculation table so as to process the edge calculation tasks according to the weights;
and S5, acquiring edge metadata management data by utilizing the updating, wherein the edge metadata management data are synchronized to an edge metadata memory through metadata sent by a controller of the reference service, and the edge metadata memory stores and stores the resource metadata.
2. The method according to claim 1, wherein the video buffer sorting method based on edge calculation is as follows: the bidirectional prediction frame signal is that whether a target video cache region corresponding to each input cache region serial number selection signal points to a corresponding video cache region or not at the same time, if the target video cache region points to the corresponding video cache region, the serial number of the currently pointed video cache region is not changed, namely the numerical value of the current video cache region is read again; on the contrary, if the pointing direction is the same (repeated), the sequence number of the currently pointed video buffer area is not changed, that is, the value of the current video buffer area is read again, that is, the current video buffer area is covered by the current frame data.
3. The method according to claim 1, wherein the video buffer sorting method based on edge calculation is as follows: the video cache arrangement system comprises a communication module, wherein the communication module is used for converting and picking up frequency numbers, the communication module comprises an audio data acquisition unit and a video analysis unit, the video analysis unit is used for acquiring audio data corresponding to the video file, and the audio data acquisition unit is used for receiving the audio data.
4. The method according to claim 1, wherein the video buffer sorting method based on edge calculation is as follows: the communication module comprises a vector processing unit, a sequence generating unit and an abstract synthesizing unit, wherein the vector processing unit is used for processing video data through a model to obtain a vector set corresponding to the video data.
5. The method according to claim 4, wherein the video buffer sorting method based on edge calculation is as follows: the sequence generation module is used for processing the vector set through a second model to obtain a target sequence; and the abstract synthesis module is used for generating a video abstract of the video data according to the target sequence.
6. The method according to claim 1, wherein the video buffer sorting method based on edge calculation is as follows: the video cache arrangement system also comprises an edge metadata management module, wherein the edge metadata management module stores updated change data through edge nodes; the edge metadata management module includes edge data nodes.
7. The method according to claim 6, wherein the video buffer sorting method based on edge calculation is as follows: the edge node includes edge metadata management and edge metadata storage, the edge node storage including: the edge metadata management receives the change data sent by the edge controller;
the edge metadata management synchronizing the change data to the edge metadata store; the edge metadata store maintains the change data.
8. The method according to claim 1, wherein the video buffer sorting method based on edge calculation is as follows: the updating in the step S4, including: initializing a kernel of at least one edge node; sending the initialization kernel and training samples to at least one application program device based on multi-edge calculation; obtaining a parameter fed back by the at least one multi-edge computing-based application device, wherein the parameter is obtained by back propagation of the at least one multi-edge computing-based application device through a neural network; and updating the availability of the service according to the parameter and the preset learning rate.
9. The method according to claim 1, wherein the video buffer sorting method based on edge calculation is as follows: in step S5, assigning different weights to different edge calculation tasks in the task edge calculation table to process the edge calculation task according to the weights includes: arranging the edge calculation processing standards of at least one edge node in the weight in a descending order to generate a task edge calculation table; and sequentially accessing at least one edge node in the weight according to the sequence of the task edge calculation table.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102625110A (en) * | 2012-03-30 | 2012-08-01 | 天津天地伟业物联网技术有限公司 | Caching system and caching method for video data |
| CN106961626A (en) * | 2017-03-13 | 2017-07-18 | 福州瑞芯微电子股份有限公司 | The method and apparatus that a kind of video metamessage auto-complete is arranged |
| CN109660819A (en) * | 2017-10-10 | 2019-04-19 | 中国移动通信有限公司研究院 | Service buffer method, apparatus and serving BS based on mobile edge calculations |
| EP3869763A1 (en) * | 2020-02-20 | 2021-08-25 | Broadpeak | Method for delivering an audio and/or video content in a mobile network infrastructure |
-
2022
- 2022-02-10 CN CN202210124476.0A patent/CN114401436B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102625110A (en) * | 2012-03-30 | 2012-08-01 | 天津天地伟业物联网技术有限公司 | Caching system and caching method for video data |
| CN106961626A (en) * | 2017-03-13 | 2017-07-18 | 福州瑞芯微电子股份有限公司 | The method and apparatus that a kind of video metamessage auto-complete is arranged |
| CN109660819A (en) * | 2017-10-10 | 2019-04-19 | 中国移动通信有限公司研究院 | Service buffer method, apparatus and serving BS based on mobile edge calculations |
| EP3869763A1 (en) * | 2020-02-20 | 2021-08-25 | Broadpeak | Method for delivering an audio and/or video content in a mobile network infrastructure |
Non-Patent Citations (1)
| Title |
|---|
| 刘可欣等: "基于移动边缘计算的车联网卸载策略研究", 长春理工大学学报(自然科学版) * |
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