CN115604463A - Video compression method and system for adaptive sensing sampling - Google Patents
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- 238000005070 sampling Methods 0.000 title claims abstract description 60
- 230000006835 compression Effects 0.000 title claims abstract description 30
- 238000007906 compression Methods 0.000 title claims abstract description 30
- 238000000034 method Methods 0.000 title claims abstract description 27
- 230000003044 adaptive effect Effects 0.000 title claims description 15
- 239000013598 vector Substances 0.000 claims abstract description 70
- 239000011159 matrix material Substances 0.000 claims abstract description 50
- 230000002708 enhancing effect Effects 0.000 claims description 6
- 230000006837 decompression Effects 0.000 claims description 3
- 238000009432 framing Methods 0.000 claims description 3
- 238000007781 pre-processing Methods 0.000 claims description 3
- 238000005728 strengthening Methods 0.000 abstract 1
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- 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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- 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
- H04N19/132—Sampling, masking or truncation of coding units, e.g. adaptive resampling, frame skipping, frame interpolation or high-frequency transform coefficient masking
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- 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
- H04N19/137—Motion inside a coding unit, e.g. average field, frame or block difference
- H04N19/139—Analysis of motion vectors, e.g. their magnitude, direction, variance or reliability
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- 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
- H04N19/154—Measured or subjectively estimated visual quality after decoding, e.g. measurement of distortion
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- 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
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Abstract
The invention provides a video compression method and a video compression system of self-adaptive sensing sampling, which can be used for compensating a current frame through interframe motion vectors of the current frame and previous and next frames, strengthening some characteristic vectors of the current frame, estimating a difference value between the current frame and a reference frame to obtain a key frame and a non-key frame, adopting self-adaptive sampling, only carrying out interframe reconstruction on the non-key frame, finally calculating the correlation degree through a transposed matrix, removing a disordered frame, and finally compressing to overcome the problem that the prior art has unstable reconstruction quality under various combined sampling rates.
Description
Technical Field
The present application relates to the field of network multimedia, and in particular, to a method and system for compressing adaptively perceptually sampled video.
Background
The existing inter-frame matching algorithms exhibit unstable reconstruction quality at various joint sampling rates because the sampling rate of key frames is not consistent with the sampling rate of non-key frames. Meanwhile, the existing video quality enhancement method has certain limitation, the video enhancement of a single frame is highlighted, and the space-time correlation between frames is ignored.
Therefore, there is a need for a targeted adaptive perceptual sampling video compression method and system.
Disclosure of Invention
The invention aims to provide a video compression method and a video compression system for self-adaptive sensing sampling, which are used for solving the problem that the reconstruction quality is unstable under various joint sampling rates in the prior art.
In a first aspect, the present application provides a method for video compression with adaptive perceptual sampling, the method comprising:
acquiring a video data stream, and performing frame processing on the video data stream to obtain first data taking a frame as a unit;
extracting a first inter-frame motion vector of a current frame and a previous frame of the first data, extracting a second inter-frame motion vector of the current frame and a next frame, and compensating the current frame based on the first inter-frame motion vector and the second inter-frame motion vector, wherein the compensation is to take the inter-frame motion vector as input data for enhancing the quality of the extended video and strengthen the feature vector of the current frame; continuously performing motion vector compensation between front and rear frames on a time domain time line to obtain second data;
performing difference operation on each frame of the second data and a reference frame, estimating the difference, if the difference is out of a preset range, indicating that the difference between the frame and the reference frame is larger than an expected difference, and determining the frame as a key frame, otherwise, determining the frame as a non-key frame;
sampling the key frame according to a high sampling rate, sampling the non-key frame according to a low sampling rate, performing interframe reconstruction only on the non-key frame with the low sampling rate, and selecting the nearest key frame as a reference to complete interframe reconstruction based on interframe time domain distance;
recombining the key frame and the non-key frame after interframe reconstruction to obtain third data;
inputting the third 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 threshold value to obtain fourth data;
performing compression coding on the fourth data to obtain a compressed data stream, and sending the compressed data stream to next-stage equipment;
and receiving and decompressing the compressed data stream sent by the opposite device.
In a second aspect, the present application provides a video compression system for adaptive perceptual sampling, the system comprising:
the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring a video data stream and performing framing processing on the video data stream to obtain first data taking a frame as a unit;
the preprocessing unit is used for extracting a first inter-frame motion vector of a current frame and a previous frame of the first data, extracting a second inter-frame motion vector of the current frame and a next frame, and compensating the current frame based on the first inter-frame motion vector and the second inter-frame motion vector, wherein the compensation is to take the inter-frame motion vector as input data for enhancing the video quality and strengthen the feature vector of the current frame; continuously performing motion vector compensation between front and rear frames on a time domain time line to obtain second data;
the identification unit is used for carrying out difference value operation on each frame of the second data and a reference frame, estimating the difference value, if the difference value is out of a preset range, indicating that the difference between the frame and the reference frame is larger than an expected difference value, and identifying the frame as a key frame, otherwise, identifying the frame as a non-key frame;
the self-adaptive unit is used for sampling the key frame according to a high sampling rate, sampling the non-key frame according to a low sampling rate, performing interframe reconstruction only on the non-key frame with the low sampling rate, and selecting the nearest key frame as a reference to complete interframe reconstruction based on interframe time domain distance; recombining the key frame and the non-key frame after interframe reconstruction to obtain third data;
a correlation unit, configured to input the third data into a vector matrix template to obtain a first vector matrix P1, and calculate a transpose 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 threshold value to obtain fourth data;
the compression unit is used for carrying out compression coding on the fourth data to obtain a compressed data stream and sending the compressed data stream to next-stage equipment;
and the decompression unit is used for receiving and decompressing the compressed data stream sent by the opposite device.
In a third aspect, the present application provides a video compression system for adaptive perceptual sampling, 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 of self-adaptive sensing sampling, which can compensate a current frame through interframe motion vectors of the current frame and previous and next frames, strengthen some characteristic vectors of the current frame, estimate a difference value with a reference frame to obtain a key frame and a non-key frame, adopt self-adaptive sampling, only carry out interframe reconstruction on the non-key frame, finally calculate the correlation degree through a transposed matrix, eliminate a disordered frame, and finally carry out compression, thereby overcoming the problem that the prior art has unstable reconstruction quality under various combined sampling rates.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required to be used in the embodiments will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a flow chart of a method for video compression with adaptive perceptual sampling according to the present invention;
FIG. 2 is a block diagram of an adaptive perceptual sampling video compression system according to the present invention;
FIG. 3 is a deployment diagram of the present invention in connection with a computer-readable storage medium.
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 for adaptive perceptual sampling provided in the present application, including:
acquiring a video data stream, and performing frame processing on the video data stream to obtain first data taking a frame as a unit;
extracting a first inter-frame motion vector of a current frame and a previous frame of the first data, extracting a second inter-frame motion vector of the current frame and a next frame, and compensating the current frame based on the first inter-frame motion vector and the second inter-frame motion vector, wherein the compensation is to take the inter-frame motion vector as input data for enhancing the quality of the extended video and strengthen the feature vector of the current frame; continuously performing motion vector compensation between front and rear frames on a time domain time line to obtain second data;
performing difference operation on each frame of the second data and a reference frame, estimating the difference, if the difference is out of a preset range, indicating that the difference between the frame and the reference frame is larger than an expected difference, and determining the frame as a key frame, otherwise, determining the frame as a non-key frame;
sampling the key frame according to a high sampling rate, sampling the non-key frame according to a low sampling rate, performing interframe reconstruction only on the non-key frame with the low sampling rate, and selecting the nearest key frame as a reference to complete interframe reconstruction based on interframe time domain distance;
recombining the key frame and the non-key frame after interframe reconstruction to obtain third data;
inputting the third 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 eliminating the frames with the correlation values higher than a threshold value to obtain fourth data;
performing compression coding on the fourth data to obtain a compressed data stream, and sending the compressed data stream to the next-stage equipment;
and receiving and decompressing the compressed data stream sent by the opposite device.
In some preferred embodiments, the acquiring the video data stream includes acquiring video data streams of a plurality of different platforms according to different acquisition strategies preset by the different platforms.
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 high and low sampling rates are preset by a server from which the sampling rate is requested.
Fig. 2 is an architecture diagram of an adaptive perceptual sampling video compression system provided herein, the system comprising:
the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring a video data stream and performing framing processing on the video data stream to obtain first data taking a frame as a unit;
the preprocessing unit is used for extracting a first inter-frame motion vector of a current frame and a previous frame of the first data, extracting a second inter-frame motion vector of the current frame and a next frame, and compensating the current frame based on the first inter-frame motion vector and the second inter-frame motion vector, wherein the compensation is to take the inter-frame motion vector as input data for enhancing the video quality and strengthen the feature vector of the current frame; continuously performing motion vector compensation between front and rear frames on a time domain time line to obtain second data;
the identification unit is used for performing difference value operation on each frame of the second data and a reference frame, estimating the difference value, if the difference value is out of a preset range, indicating that the difference between the frame and the reference frame is larger than an expected difference value, and identifying the frame as a key frame, otherwise, identifying the frame as a non-key frame;
the adaptive unit is used for sampling the key frame according to a high sampling rate, sampling the non-key frame according to a low sampling rate, performing interframe reconstruction only on the non-key frame with the low sampling rate, and selecting the nearest key frame as a reference to complete interframe reconstruction based on the interframe time domain distance; recombining the key frame and the non-key frame after interframe reconstruction to obtain third data;
a correlation unit, configured to input the third data into a vector matrix template to obtain a first vector matrix P1, and calculate a transpose 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 threshold value to obtain fourth data;
the compression unit is used for carrying out compression coding on the fourth data to obtain a compressed data stream and sending the compressed data stream to the next-stage equipment;
and the decompression unit is used for receiving and decompressing the compressed data stream sent by the opposite device.
The application provides a video compression system of self-adaptation perception sampling, the system includes: 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, as shown in fig. 3, 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 may be a magnetic disk, an optical disk, a read-only memory (ROM) or a Random Access Memory (RAM).
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 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 enabling 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 parts of the embodiments.
The same and similar parts between 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 the relevant points can be referred to the description in the method embodiments.
The above-described embodiments of the present invention should not be construed as limiting the scope of the present invention.
Claims (7)
1. A method for video compression with adaptive perceptual sampling, the method comprising:
acquiring a video data stream, and performing frame processing on the video data stream to obtain first data taking a frame as a unit;
extracting a first inter-frame motion vector of a current frame and a previous frame of the first data, extracting a second inter-frame motion vector of the current frame and a next frame, and compensating the current frame based on the first inter-frame motion vector and the second inter-frame motion vector, wherein the compensation is to take the inter-frame motion vector as input data for enhancing the quality of the extended video and strengthen the characteristic vector of the current frame; continuously performing motion vector compensation between front and rear frames on a time domain time line to obtain second data;
performing difference operation on each frame of the second data and a reference frame, estimating the difference, if the difference is out of a preset range, indicating that the difference between the frame and the reference frame is larger than an expected difference, and determining the frame as a key frame, otherwise, determining the frame as a non-key frame;
sampling the key frame according to a high sampling rate, sampling the non-key frame according to a low sampling rate, performing interframe reconstruction only on the non-key frame with the low sampling rate, and selecting the nearest key frame as a reference to complete interframe reconstruction based on interframe time domain distance;
recombining the key frame and the non-key frame after interframe reconstruction to obtain third data;
inputting the third 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 threshold value to obtain fourth data;
performing compression coding on the fourth data to obtain a compressed data stream, and sending the compressed data stream to the next-stage equipment;
and receiving and decompressing the compressed data stream transmitted by the opposite device.
2. The method of claim 1, wherein: the acquiring of the video data streams comprises acquiring the video data streams of a plurality of different platforms according to different preset acquisition strategies of the different platforms.
3. The method of claim 2, wherein: the obtaining of the video data streams of the plurality of different platforms includes encryption coding and decoding of the video data streams.
4. The method of claim 3, wherein: the high sampling rate and the low sampling rate are preset by a server, and the server is requested to acquire the sampling rate.
5. A video compression system for adaptive perceptual sampling, the system comprising:
the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring a video data stream and performing framing processing on the video data stream to obtain first data taking a frame as a unit;
a preprocessing unit, configured to extract a first inter-frame motion vector between a current frame and a previous frame of the first data, extract a second inter-frame motion vector between the current frame and a next frame of the first data, and compensate the current frame based on the first inter-frame motion vector and the second inter-frame motion vector, where the compensation is to use the inter-frame motion vector as input data for enhancing video quality and to enhance a feature vector of the current frame; continuously performing motion vector compensation between front and rear frames on a time domain time line to obtain second data;
the identification unit is used for performing difference value operation on each frame of the second data and a reference frame, estimating the difference value, if the difference value is out of a preset range, indicating that the difference between the frame and the reference frame is larger than an expected difference value, and identifying the frame as a key frame, otherwise, identifying the frame as a non-key frame;
the adaptive unit is used for sampling the key frame according to a high sampling rate, sampling the non-key frame according to a low sampling rate, performing interframe reconstruction only on the non-key frame with the low sampling rate, and selecting the nearest key frame as a reference to complete interframe reconstruction based on the interframe time domain distance; recombining the key frame and the non-key frame after interframe reconstruction to obtain third data;
a correlation unit, configured to input the third data into a vector matrix template to obtain a first vector matrix P1, and calculate a transpose 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 eliminating the frames with the correlation values higher than a threshold value to obtain fourth data;
the compression unit is used for carrying out compression coding on the fourth data to obtain a compressed data stream and sending the compressed data stream to the next-stage equipment;
and the decompression unit is used for receiving and decompressing the compressed data stream sent by the opposite device.
6. A video compression system for adaptive perceptual sampling, 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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