CN113286120A - Video analysis processing method, storage medium and device - Google Patents
Video analysis processing method, storage medium and device Download PDFInfo
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- CN113286120A CN113286120A CN202110521570.5A CN202110521570A CN113286120A CN 113286120 A CN113286120 A CN 113286120A CN 202110521570 A CN202110521570 A CN 202110521570A CN 113286120 A CN113286120 A CN 113286120A
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- 238000004458 analytical method Methods 0.000 title claims abstract description 23
- 238000003672 processing method Methods 0.000 title claims abstract description 14
- 238000012545 processing Methods 0.000 claims abstract description 27
- 238000013075 data extraction Methods 0.000 claims abstract description 10
- 230000008676 import Effects 0.000 claims abstract description 10
- 238000002372 labelling Methods 0.000 claims abstract description 8
- 238000012544 monitoring process Methods 0.000 claims description 35
- 238000004590 computer program Methods 0.000 claims description 9
- 238000000034 method Methods 0.000 claims description 6
- 230000003044 adaptive effect Effects 0.000 claims description 3
- 230000006855 networking Effects 0.000 claims description 3
- 230000008569 process Effects 0.000 description 3
- 239000000284 extract Substances 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 238000012552 review Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
Classifications
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/46—Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/48—Matching video sequences
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
- H04N19/136—Incoming video signal characteristics or properties
- H04N19/14—Coding unit complexity, e.g. amount of activity or edge presence estimation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
- H04N19/17—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object
- H04N19/176—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
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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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/234—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
-
- 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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/234—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
- H04N21/23418—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics
-
- 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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/242—Synchronization processes, e.g. processing of PCR [Program Clock References]
-
- 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]
- H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
- H04N21/85—Assembly of content; Generation of multimedia applications
- H04N21/854—Content authoring
- H04N21/8547—Content authoring involving timestamps for synchronizing content
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- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Compression Or Coding Systems Of Tv Signals (AREA)
Abstract
The invention discloses a video analysis processing method, a storage medium and a device in the technical field of video analysis processing methods, wherein a data import module is electrically connected with a video network terminal in an output mode, the video network terminal is electrically connected with a display module in an output mode, a data extraction module is electrically connected with a data coding processing module in an output mode, the data coding processing module is electrically connected with a data identification module in an output mode, the data identification module is electrically connected with a target determination unit in an output mode, videos in different time periods are simultaneously played according to timestamps of basic videos, target position information in each video can be acquired based on a labeling frame, the layered videos are enabled to achieve picture synchronization, whether target objects in the videos to be identified are groups of specified age groups or not is automatically identified, and labor cost and time cost consumed by manual examination are effectively saved.
Description
Technical Field
The invention relates to the technical field of video analysis processing methods, in particular to a video analysis processing method, a storage medium and a device.
Background
With the popularization of the application of security monitoring systems, more and more video resources are uploaded by each video acquisition end, more and more corresponding video resources are needed to be analyzed, the monitoring video of the monitoring equipment can be displayed on a video network terminal, the monitoring equipment needs to be accessed into the video network through a monitoring access server, then the monitoring video is obtained from the monitoring equipment and is sent to the video network terminal for displaying, the monitoring video needs to be coded during video transmission, a more appropriate coding mode is accurately determined in the video coding process, the whole video coding process can be accelerated by coding the video according to the coding mode, the video coding efficiency is improved, the video which is independently output by a group of people at a specific age group at present mainly depends on auditors to watch the video in the whole process, and the labor cost is higher, in addition, the magnitude of uploaded videos produced by users is huge, a large amount of time cost is consumed for manual review, the time interval of watching other types of videos except videos which are independently watched by a group of specific age groups by the users can be greatly prolonged, and the use experience of the video users is influenced.
Disclosure of Invention
The present invention is directed to a video analysis processing method, a storage medium and a device, so as to solve the problems in the background art.
In order to achieve the purpose, the invention provides the following technical scheme: a video analysis processing method, a storage medium and a device comprise a data import module, a video network terminal and a display module, wherein the video network terminal comprises a data extraction module, a data coding processing module, a data identification module and a target determination unit, the data import module is electrically connected with the video network terminal in an output mode, the video network terminal is electrically connected with the display module in an output mode, the data extraction module is electrically connected with the data coding processing module in an output mode, the data coding processing module is electrically connected with the data identification module in an output mode, and the data identification module is electrically connected with the target determination unit in an output mode;
the video analysis processing method comprises the following specific steps:
s1: the method comprises the steps that basic monitoring video data sent by monitoring equipment are received, a data import module can send the basic monitoring video data to a video network terminal, the basic monitoring video data are analyzed and processed through a data extraction module, a timestamp and a data frame of a target object in the monitoring video data are determined and extracted to form a marking frame, position information corresponding to the marking frame can be obtained, a data coding processing module can accurately select a proper coding mode to code a video frame, the position information corresponding to the marking frame comprises coordinate information of the marking frame, the coordinate information of the marking frame comprises preset vertex coordinate information, preset length and preset width, and therefore image characteristics of the target object are obtained;
s2: the subsequent video data are sent to a video network terminal, so that the video network terminal can simultaneously display data frames corresponding to time stamps in the video data according to the time stamps and the data frames in the basic monitoring video data, a target object corresponds to the position of a labeling frame, real-time monitoring processing of the target data is completed through a data identification module, a target determination unit determines similarity of the target object according to image characteristics of the target object and preset image characteristic information in a pre-stored database, wherein the preset object information in the pre-stored database comprises an object name and corresponding preset image characteristic information, the target object can be determined according to the position information of the labeling frame corresponding to the target object within a preset range of the similarity, and meanwhile, all video information can be displayed on a display module in real time;
s3: the video networking terminal obtains a video frame sequence based on the uploaded video data, then determines the type of the video to be identified through each video frame, the video frame sequence is a video frame combination extracted from the video to be identified according to a time sequence, and the type of the video to be identified represents the generation mode of the video to be identified;
s4: acquiring at least one video subunit from a frame sequence according to the type of a video to be identified, detecting a target object area in each video subunit, predicting age information of a target object in each target object area, identifying whether the target object in the video to be identified belongs to a group with a specified age group or not according to the age information of the corresponding target object, and deleting the corresponding video segment through a video network terminal to obtain an adaptive and matched video;
the storage medium having stored therein at least one instruction, at least one program, set of codes, or set of instructions;
the terminal of the video network comprises a processor and a memory, wherein a computer program is stored in the memory, and at least one instruction, at least one program, a set of codes or a set of instructions is loaded by the processor and executes the computer program, and the computer program runs on the processor.
Preferably, the data encoding processing module obtains a target video frame from a video to be encoded, determines a target data block to be encoded from the target video frame, divides the target data block into N sub-data blocks, performs scene complexity analysis on each sub-data block to obtain sub-block index information, determines an encoding mode for the target data block according to the data block index information and the sub-block index information, and finally completes encoding processing on the target data block according to the determined encoding mode.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention determines and extracts the time stamp and the data frame of the target object according to the monitoring video data to form the marking frame, can acquire the position information corresponding to the marking frame, the data coding processing module can select a proper coding mode to code the video frame more accurately, the data frame corresponding to the time stamp in the video data is displayed simultaneously according to the time stamp and the data frame in the basic monitoring video data, thereby the position of the target object corresponds to the marking frame, the real-time monitoring processing of the target data is completed through the data identification module, the target determination unit determines the similarity of the target object according to the image characteristic of the target object and the preset image characteristic information in the pre-stored database, the similarity can determine the target object according to the position information of the marking frame corresponding to the target object within a preset range, according to the time stamp of the basic video, the videos in different time periods are played simultaneously, and target position information in each video can be acquired based on the marking frame, so that the layered videos are synchronized;
2. according to the video frame combination extracted from the video to be identified according to the time sequence, the scene complexity analysis is carried out on the target data block to be coded in the target video frame, the analysis result of the whole target data block to be coded and the analysis result obtained after the target data block to be coded is divided into a plurality of sub-data blocks are respectively obtained, and the coding mode is selected based on the analysis results, so that the proper coding mode can be accurately determined for the current target data block to be coded, the coding speed of the target data block can be effectively increased, the video coding efficiency is improved, whether the target object in the video to be identified is a group of a specified age group or not is automatically identified, and the labor cost and the time cost consumed by manual examination are effectively saved.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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.
Examples
A video analysis processing method, a storage medium and a device comprise a data import module, a video network terminal and a display module, wherein the video network terminal comprises a data extraction module, a data coding processing module, a data identification module and a target determination unit, the data import module is electrically connected with the video network terminal in an output mode, the video network terminal is electrically connected with the display module in an output mode, the data extraction module is electrically connected with the data coding processing module in an output mode, the data coding processing module is electrically connected with the data identification module in an output mode, and the data identification module is electrically connected with the target determination unit in an output mode;
the video analysis processing method comprises the following specific steps:
s1: the method comprises the steps that basic monitoring video data sent by monitoring equipment are received, a data import module can send the basic monitoring video data to a video network terminal, the basic monitoring video data are analyzed and processed through a data extraction module, a timestamp and a data frame of a target object in the monitoring video data are determined and extracted to form a marking frame, position information corresponding to the marking frame can be obtained, a data coding processing module can accurately select a proper coding mode to code a video frame, the position information corresponding to the marking frame comprises coordinate information of the marking frame, the coordinate information of the marking frame comprises preset vertex coordinate information, preset length and preset width, and therefore image characteristics of the target object are obtained;
s2: the subsequent video data are sent to a video network terminal, so that the video network terminal can simultaneously display data frames corresponding to time stamps in the video data according to the time stamps and the data frames in the basic monitoring video data, a target object corresponds to the position of a labeling frame, real-time monitoring processing of the target data is completed through a data identification module, a target determination unit determines similarity of the target object according to image characteristics of the target object and preset image characteristic information in a pre-stored database, wherein the preset object information in the pre-stored database comprises an object name and corresponding preset image characteristic information, the target object can be determined according to the position information of the labeling frame corresponding to the target object within a preset range of the similarity, and meanwhile, all video information can be displayed on a display module in real time;
s3: the video networking terminal obtains a video frame sequence based on the uploaded video data, then determines the type of the video to be identified through each video frame, the video frame sequence is a video frame combination extracted from the video to be identified according to a time sequence, and the type of the video to be identified represents the generation mode of the video to be identified;
s4: acquiring at least one video subunit from a frame sequence according to the type of a video to be identified, detecting a target object area in each video subunit, predicting age information of a target object in each target object area, identifying whether the target object in the video to be identified belongs to a group with a specified age group or not according to the age information of the corresponding target object, and deleting the corresponding video segment through a video network terminal to obtain an adaptive and matched video;
the storage medium having stored therein at least one instruction, at least one program, set of codes, or set of instructions;
the video network terminal comprises a processor and a memory, wherein the memory is stored with a computer program, at least one instruction, at least one program, a code set or an instruction set is loaded by the processor and executes the computer program, and the computer program runs on the processor;
the data coding processing module acquires a target video frame from a video to be coded, determines a target data block to be coded from the target video frame, divides the target data block into N sub-data blocks, analyzes scene complexity of each sub-data block respectively to obtain sub-block index information, determines a coding mode of the target data block according to the data block index information and the sub-block index information, and finally completes coding processing on the target data block according to the determined coding mode.
The invention determines and extracts the time stamp and the data frame of the target object according to the monitoring video data to form the marking frame, can acquire the position information corresponding to the marking frame, the data coding processing module can select a proper coding mode to code the video frame more accurately, the data frame corresponding to the time stamp in the video data is displayed simultaneously according to the time stamp and the data frame in the basic monitoring video data, so that the target object corresponds to the position of the marking frame, the real-time monitoring processing of the target data is completed through the data identification module, the target determination unit determines the similarity of the target object according to the image characteristics of the target object and the preset image characteristic information in the pre-stored database, the similarity is in a preset range, namely the target object can be determined according to the position information of the marking frame corresponding to the target object, the videos of different time periods are played simultaneously according to the time stamp of the basic video, target position information in each video can be acquired based on the labeling frame, so that the layered videos realize picture synchronization; the video frame combination is extracted from the video to be identified according to the time sequence, scene complexity analysis is carried out on a target data block to be coded in a target video frame, an analysis result of the whole target data block to be coded and an analysis result obtained after the target data block to be coded is divided into a plurality of sub data blocks are respectively obtained, and a coding mode is selected based on the analysis results, so that a proper coding mode can be accurately determined for the current target data block to be coded, the coding speed of the target data block can be effectively increased, the video coding efficiency is improved, whether a target object in the video to be identified is a group of a specified age group or not is automatically identified, and the labor cost and the time cost consumed by manual auditing are effectively saved.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (2)
1. A video analysis processing method, storage medium and device are characterized in that: the device comprises a data import module, a video network terminal and a display module, wherein the video network terminal comprises a data extraction module, a data coding processing module, a data identification module and a target determination unit, the data import module is electrically connected with the video network terminal in an output mode, the video network terminal is electrically connected with the display module in an output mode, the data extraction module is electrically connected with the data coding processing module in an output mode, the data coding processing module is electrically connected with the data identification module in an output mode, and the data identification module is electrically connected with the target determination unit in an output mode;
the video analysis processing method comprises the following specific steps:
s1: the method comprises the steps that basic monitoring video data sent by monitoring equipment are received, a data import module can send the basic monitoring video data to a video network terminal, the basic monitoring video data are analyzed and processed through a data extraction module, a timestamp and a data frame of a target object in the monitoring video data are determined and extracted to form a marking frame, position information corresponding to the marking frame can be obtained, a data coding processing module can accurately select a proper coding mode to code a video frame, the position information corresponding to the marking frame comprises coordinate information of the marking frame, the coordinate information of the marking frame comprises preset vertex coordinate information, preset length and preset width, and therefore image characteristics of the target object are obtained;
s2: the subsequent video data are sent to a video network terminal, so that the video network terminal can simultaneously display data frames corresponding to time stamps in the video data according to the time stamps and the data frames in the basic monitoring video data, a target object corresponds to the position of a labeling frame, real-time monitoring processing of the target data is completed through a data identification module, a target determination unit determines similarity of the target object according to image characteristics of the target object and preset image characteristic information in a pre-stored database, wherein the preset object information in the pre-stored database comprises an object name and corresponding preset image characteristic information, the target object can be determined according to the position information of the labeling frame corresponding to the target object within a preset range of the similarity, and meanwhile, all video information can be displayed on a display module in real time;
s3: the video networking terminal obtains a video frame sequence based on the uploaded video data, then determines the type of the video to be identified through each video frame, the video frame sequence is a video frame combination extracted from the video to be identified according to a time sequence, and the type of the video to be identified represents the generation mode of the video to be identified;
s4: acquiring at least one video subunit from a frame sequence according to the type of a video to be identified, detecting a target object area in each video subunit, predicting age information of a target object in each target object area, identifying whether the target object in the video to be identified belongs to a group with a specified age group or not according to the age information of the corresponding target object, and deleting the corresponding video segment through a video network terminal to obtain an adaptive and matched video;
the storage medium having stored therein at least one instruction, at least one program, set of codes, or set of instructions;
the terminal of the video network comprises a processor and a memory, wherein a computer program is stored in the memory, and at least one instruction, at least one program, a set of codes or a set of instructions is loaded by the processor and executes the computer program, and the computer program runs on the processor.
2. The video analysis processing method, the storage medium and the device according to claim 1, wherein: the data coding processing module acquires a target video frame from a video to be coded, determines a target data block to be coded from the target video frame, divides the target data block into N sub-data blocks, analyzes scene complexity of each sub-data block respectively to obtain sub-block index information, determines a coding mode of the target data block according to the data block index information and the sub-block index information, and finally completes coding processing on the target data block according to the determined coding mode.
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| CN202110521570.5A CN113286120A (en) | 2021-05-13 | 2021-05-13 | Video analysis processing method, storage medium and device |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110521570.5A CN113286120A (en) | 2021-05-13 | 2021-05-13 | Video analysis processing method, storage medium and device |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112104867A (en) * | 2020-11-09 | 2020-12-18 | 腾讯科技（深圳）有限公司 | Video processing method, video processing device, intelligent equipment and storage medium |
| CN112584093A (en) * | 2020-11-12 | 2021-03-30 | 视联动力信息技术股份有限公司 | Video data processing method and device, terminal equipment and storage medium |
| CN112686165A (en) * | 2020-12-31 | 2021-04-20 | 百果园技术(新加坡)有限公司 | Method and device for identifying target object in video, electronic equipment and storage medium |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112104867A (en) * | 2020-11-09 | 2020-12-18 | 腾讯科技（深圳）有限公司 | Video processing method, video processing device, intelligent equipment and storage medium |
| CN112584093A (en) * | 2020-11-12 | 2021-03-30 | 视联动力信息技术股份有限公司 | Video data processing method and device, terminal equipment and storage medium |
| CN112686165A (en) * | 2020-12-31 | 2021-04-20 | 百果园技术(新加坡)有限公司 | Method and device for identifying target object in video, electronic equipment and storage medium |
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