CN115604462A - Video compression method and system applying component analysis - Google Patents
Video compression method and system applying component analysis Download PDFInfo
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- CN115604462A CN115604462A CN202211091544.4A CN202211091544A CN115604462A CN 115604462 A CN115604462 A CN 115604462A CN 202211091544 A CN202211091544 A CN 202211091544A CN 115604462 A CN115604462 A CN 115604462A
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- 230000006835 compression Effects 0.000 title claims abstract description 64
- 238000007906 compression Methods 0.000 title claims abstract description 64
- 238000000034 method Methods 0.000 title claims abstract description 27
- 239000011159 matrix material Substances 0.000 claims description 48
- 238000012545 processing Methods 0.000 claims description 10
- 238000004364 calculation method Methods 0.000 claims description 6
- 238000009432 framing Methods 0.000 claims description 6
- 238000013507 mapping Methods 0.000 claims description 6
- 230000006837 decompression Effects 0.000 claims description 3
- 238000007781 pre-processing Methods 0.000 claims description 3
- 238000012958 reprocessing Methods 0.000 claims description 3
- 238000012937 correction Methods 0.000 claims description 2
- 238000013139 quantization Methods 0.000 claims description 2
- 238000000513 principal component analysis Methods 0.000 abstract description 2
- 238000012216 screening Methods 0.000 abstract description 2
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- 230000003287 optical effect Effects 0.000 description 2
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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
- H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
- H04N19/103—Selection of coding mode or of prediction mode
- H04N19/105—Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
-
- 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
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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
- H04N19/134—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
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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
- H04N19/134—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
- H04N19/146—Data rate or code amount at the encoder output
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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
- H04N19/50—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
- H04N19/503—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving temporal prediction
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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
- H04N19/70—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards
Abstract
The invention provides a video compression method and a video compression system applying component analysis, which form a double video key frame screening mechanism by adopting a principal component analysis algorithm to screen video key frames and combining frame difference operation, thereby minimizing the correlation of video subspaces, further realizing video compression to the maximum extent and overcoming the problems of low compression ratio and serious information loss in the prior art.
Description
Technical Field
The present application relates to the field of network multimedia, and in particular, to a video compression method and system using component analysis.
Background
As the existing video length is larger and larger, the common video compression method focuses more on the compression of data amount, that is, the problems of low compression rate and serious information loss exist. How to retain redundant information as much as possible while compressing and also consider adopting compression of different degrees according to video contents is a problem to be considered by a person skilled in the art.
Therefore, a video compression method and system for targeted application component analysis is urgently needed.
Disclosure of Invention
The invention aims to provide a video compression method and a video compression system applying component analysis.
In a first aspect, the present application provides a method of video compression using component analysis, the method comprising:
according to the obtaining strategy, obtaining video data streams of a plurality of different platforms, and performing framing processing on the video data streams to obtain first data taking frames as units;
performing difference operation on each frame of the first data and a reference frame, estimating the difference, if the difference is within a preset range, indicating that the difference between the frame and the reference frame is not large and is not a key frame, and removing the frame from the first data;
inputting frames of the first data after the difference operation into a semantic analysis model one by one to obtain word meanings, performing similarity calculation on the word meanings and the keywords, and endowing a first coefficient to the current frame when the similarity value is higher than a first threshold value;
inputting the first data into a vector matrix template to obtain a first vector matrix P1, and calculating a transposed matrix T1 of the first vector matrix P1; inputting the reference frame into a vector matrix template to obtain a reference matrix P2, calculating a transposed matrix T2 of the reference matrix P2, calculating the correlation degree of T1 and T2, and eliminating the frame with the correlation value higher than a second threshold value to obtain second data;
generating a compression coefficient according to the first coefficient, and performing compression coding on the second data to obtain a sending data stream, wherein the compression coding adopts the compression coefficient as a parameter;
receiving a compressed data stream sent by opposite equipment to obtain redundant information of a mapping data stream, wherein the redundant information comprises a keyword, inputting the keyword into a semantic analysis model to obtain a second word meaning, and inquiring to obtain a second coefficient of a corresponding category; and generating a second compression coefficient according to the second coefficient, and decompressing the compressed data stream.
In a second aspect, the present application provides a video compression system applying composition analysis, the system comprising:
the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring video data streams of a plurality of different platforms according to an acquisition strategy, and performing framing processing on the video data streams to obtain first data taking a frame as a unit;
the preprocessing unit is used for performing difference value operation on each frame of the first data and a reference frame, estimating the difference value, if the difference value is within a preset range, indicating that the difference between the frame and the reference frame is not large, the frame is not a key frame, and removing the frame from the first data; inputting the frames of the first data after the difference operation into a semantic analysis model one by one to obtain word meanings, performing similarity calculation on the word meanings and the keywords, and endowing a first coefficient to the current frame when the similarity value is higher than a first threshold value;
the reprocessing unit is used for inputting the first data into a vector matrix template to obtain a first vector matrix P1 and calculating a transposed matrix T1 of the first vector matrix P1; inputting the reference frame into a vector matrix template to obtain a reference matrix P2, calculating a transposed matrix T2 of the reference matrix P2, calculating the correlation between T1 and T2, and rejecting frames with the correlation value higher than a second threshold value to obtain second data;
a compression unit, configured to generate a compression coefficient according to the first coefficient, and perform compression coding on the second data to obtain a sending data stream, where the compression coding uses the compression coefficient as a parameter;
the decompression unit is used for receiving the compressed data stream sent by the opposite side equipment to obtain redundant information of the mapping data stream, wherein the redundant information contains key words, the key words are input into a semantic analysis model to obtain second word meanings, and second coefficients of corresponding categories are obtained through query; and generating a second compression coefficient according to the second coefficient, and decompressing the compressed data stream.
In a third aspect, the present application provides a video compression system applying component analysis, the system comprising a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to perform the method of any one of the four possibilities of the first aspect according to instructions in the program code.
In a fourth aspect, the present application provides a computer-readable storage medium for storing program code for performing the method of any one of the four possibilities of the first aspect.
Advantageous effects
The invention provides a video compression method and a video compression system applying component analysis, which form a double video key frame screening mechanism by adopting a principal component analysis algorithm to screen video key frames and combining frame difference operation, thereby minimizing the correlation of video subspaces, further realizing video compression to the maximum extent and overcoming the problems of low compression ratio and serious information loss in the prior art.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of a video compression method using component analysis according to the present invention;
fig. 2 is an architecture diagram of a video compression system employing component analysis according to the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings so that the advantages and features of the present invention can be more easily understood by those skilled in the art, and the scope of the present invention will be more clearly and clearly defined.
Fig. 1 is a flowchart of a video compression method applying component analysis provided in the present application, including:
according to the obtaining strategy, obtaining video data streams of a plurality of different platforms, and performing framing processing on the video data streams to obtain first data taking frames as units;
performing difference value operation on each frame of the first data and a reference frame, estimating the difference value, if the difference value is within a preset range, indicating that the difference between the frame and the reference frame is not large and is not a key frame, and removing the frame from the first data;
inputting frames of the first data after the difference operation into a semantic analysis model one by one to obtain word meanings, performing similarity calculation on the word meanings and the keywords, and endowing a first coefficient to the current frame when the similarity value is higher than a first threshold value;
inputting the first data into a vector matrix template to obtain a first vector matrix P1, and calculating a transposed matrix T1 of the first vector matrix P1; inputting the reference frame into a vector matrix template to obtain a reference matrix P2, calculating a transposed matrix T2 of the reference matrix P2, calculating the correlation degree of T1 and T2, and eliminating the frame with the correlation value higher than a second threshold value to obtain second data;
generating a compression coefficient according to the first coefficient, and performing compression coding on the second data to obtain a sending data stream, wherein the compression coding adopts the compression coefficient as a parameter;
receiving a compressed data stream sent by opposite equipment to obtain redundant information of a mapping data stream, wherein the redundant information comprises a keyword, inputting the keyword into a semantic analysis model to obtain a second word meaning, and inquiring to obtain a second coefficient of a corresponding category; and generating a second compression coefficient according to the second coefficient, and decompressing the compressed data stream.
In some preferred embodiments, different platforms preset different acquisition strategies, and the acquisition strategies are updated according to the video characteristics and the correction records of the heat information.
In some preferred embodiments, said obtaining video data streams of a plurality of different platforms comprises an encryption codec of said video data streams.
In some preferred embodiments, the compression encoding comprises quantization encoding.
Fig. 2 is an architecture diagram of a video compression system applying composition analysis provided herein, the system comprising:
the device comprises an acquisition unit, a processing unit and a display unit, wherein the acquisition unit is used for acquiring video data streams of a plurality of different platforms according to an acquisition strategy and performing framing processing on the video data streams to obtain first data taking frames as units;
the preprocessing unit is used for carrying out difference value operation on each frame of the first data and a reference frame, estimating the difference value, if the difference value is within a preset range, indicating that the difference value between the frame and the reference frame is not large and is not a key frame, and removing the frame from the first data; inputting frames of the first data after the difference operation into a semantic analysis model one by one to obtain word meanings, performing similarity calculation on the word meanings and the keywords, and endowing a first coefficient to the current frame when the similarity value is higher than a first threshold value;
the reprocessing unit is used for inputting the first data into a vector matrix template to obtain a first vector matrix P1 and calculating a transposed matrix T1 of the first vector matrix P1; inputting the reference frame into a vector matrix template to obtain a reference matrix P2, calculating a transposed matrix T2 of the reference matrix P2, calculating the correlation degree of T1 and T2, and eliminating the frame with the correlation value higher than a second threshold value to obtain second data;
a compression unit, configured to generate a compression coefficient according to the first coefficient, and perform compression coding on the second data to obtain a sending data stream, where the compression coding uses the compression coefficient as a parameter;
the decompression unit is used for receiving the compressed data stream sent by the opposite side equipment to obtain redundant information of the mapping data stream, wherein the redundant information contains key words, the key words are input into a semantic analysis model to obtain second word meanings, and second coefficients of corresponding categories are obtained through query; and generating a second compression coefficient according to the second coefficient, and decompressing the compressed data stream.
The present application provides a video compression system applying composition analysis, the system comprising: the system includes a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to perform the method according to any of the embodiments of the first aspect according to instructions in the program code.
The present application provides a computer readable storage medium for storing program code for performing the method of any of the embodiments of the first aspect.
In specific implementation, the present invention further provides a computer storage medium, where the computer storage medium may store a program, and the program may include some or all of the steps in the embodiments of the present invention when executed. The storage medium can be a magnetic disk, an optical disk, a read-only memory (ROM), a Random Access Memory (RAM), or the like.
Those skilled in the art will readily appreciate that the techniques of the embodiments of the present invention may be implemented using software plus any required general purpose hardware platform. Based on such understanding, the technical solutions in the embodiments of the present invention or portions thereof contributing to the prior art may be embodied in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments or some portions of the embodiments.
The same and similar parts in the various embodiments of the present specification may be referred to each other. In particular, for the embodiments, since they are substantially similar to the method embodiments, the description is simple, and reference may be made to the description of the method embodiments for relevant points.
The above-described embodiments of the present invention do not limit the scope of the present invention.
Claims (7)
1. A method of video compression using composition analysis, the method comprising:
according to the obtaining strategy, obtaining video data streams of a plurality of different platforms, and performing framing processing on the video data streams to obtain first data taking frames as units;
performing difference value operation on each frame of the first data and a reference frame, estimating the difference value, if the difference value is within a preset range, indicating that the difference between the frame and the reference frame is not large and is not a key frame, and removing the frame from the first data;
inputting the frames of the first data after the difference operation into a semantic analysis model one by one to obtain word meanings, performing similarity calculation on the word meanings and the keywords, and endowing a first coefficient to the current frame when the similarity value is higher than a first threshold value;
inputting the first data into a vector matrix template to obtain a first vector matrix P1, and calculating a transposed matrix T1 of the first vector matrix P1; inputting the reference frame into a vector matrix template to obtain a reference matrix P2, calculating a transposed matrix T2 of the reference matrix P2, calculating the correlation between T1 and T2, and rejecting frames with the correlation value higher than a second threshold value to obtain second data;
generating a compression coefficient according to the first coefficient, and performing compression coding on the second data to obtain a sending data stream, wherein the compression coding adopts the compression coefficient as a parameter;
receiving a compressed data stream sent by opposite equipment to obtain redundant information of a mapping data stream, wherein the redundant information comprises a keyword, inputting the keyword into a semantic analysis model to obtain a second word meaning, and inquiring to obtain a second coefficient of a corresponding category; and generating a second compression coefficient according to the second coefficient, and decompressing the compressed data stream.
2. The method of claim 1, wherein: different platforms preset different acquisition strategies, and the acquisition strategies are updated according to the video characteristics and the correction records of the heat information.
3. The method of claim 2, wherein: the obtaining of the video data streams of the plurality of different platforms comprises encryption coding and decoding of the video data streams.
4. The method of claim 3, wherein: the compression encoding includes quantization encoding.
5. A video compression system employing component analysis, the system comprising:
the device comprises an acquisition unit, a processing unit and a display unit, wherein the acquisition unit is used for acquiring video data streams of a plurality of different platforms according to an acquisition strategy and performing framing processing on the video data streams to obtain first data taking frames as units;
the preprocessing unit is used for performing difference value operation on each frame of the first data and a reference frame, estimating the difference value, if the difference value is within a preset range, indicating that the difference between the frame and the reference frame is not large, the frame is not a key frame, and removing the frame from the first data; inputting the frames of the first data after the difference operation into a semantic analysis model one by one to obtain word meanings, performing similarity calculation on the word meanings and the keywords, and endowing a first coefficient to the current frame when the similarity value is higher than a first threshold value;
the reprocessing unit is used for inputting the first data into a vector matrix template to obtain a first vector matrix P1 and calculating a transposed matrix T1 of the first vector matrix P1; inputting the reference frame into a vector matrix template to obtain a reference matrix P2, calculating a transposed matrix T2 of the reference matrix P2, calculating the correlation between T1 and T2, and rejecting frames with the correlation value higher than a second threshold value to obtain second data;
a compression unit, configured to generate a compression coefficient according to the first coefficient, and perform compression coding on the second data to obtain a sending data stream, where the compression coding uses the compression coefficient as a parameter;
the decompression unit is used for receiving the compressed data stream sent by the opposite side equipment to obtain redundant information of the mapping data stream, wherein the redundant information contains key words, the key words are input into a semantic analysis model to obtain second word meanings, and second coefficients of corresponding categories are obtained through query; and generating a second compression coefficient according to the second coefficient, and decompressing the compressed data stream.
6. A video compression system employing component analysis, the system comprising a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to perform the method according to instructions in the program code to implement any of claims 1-4.
7. A computer-readable storage medium, characterized in that the computer-readable storage medium is configured to store a program code for performing implementing the method of any of claims 1-4.
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