CN110113603A - HD video processing terminal - Google Patents
HD video processing terminal Download PDFInfo
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- CN110113603A CN110113603A CN201910323336.4A CN201910323336A CN110113603A CN 110113603 A CN110113603 A CN 110113603A CN 201910323336 A CN201910323336 A CN 201910323336A CN 110113603 A CN110113603 A CN 110113603A
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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
- H04N19/107—Selection of coding mode or of prediction mode between spatial and temporal predictive coding, e.g. picture refresh
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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
- H04N19/12—Selection from among a plurality of transforms or standards, e.g. selection between discrete cosine transform [DCT] and sub-band transform or selection between H.263 and H.264
- H04N19/122—Selection of transform size, e.g. 8x8 or 2x4x8 DCT; Selection of sub-band transforms of varying structure or type
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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
- H04N19/13—Adaptive entropy coding, e.g. adaptive variable length coding [AVLC] or context adaptive binary arithmetic coding [CABAC]
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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
- H04N19/60—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
- H04N19/63—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using sub-band based transform, e.g. wavelets
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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
- H04N19/80—Details of filtering operations specially adapted for video compression, e.g. for pixel interpolation
- H04N19/82—Details of filtering operations specially adapted for video compression, e.g. for pixel interpolation involving filtering within a prediction loop
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- Physics & Mathematics (AREA)
- Discrete Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Compression Or Coding Systems Of Tv Signals (AREA)
Abstract
The invention discloses a kind of HD video processing terminals.The processing terminal is based on wavelet transform and the encoding and decoding that can be realized simultaneously a variety of retractilities, using a kind of adaptive structural data change technique, it can be according to the size of the adaptive selection variation block of the characteristic of current block signal, the every frame image real-time perfoming high quality high magnification compression of streaming media, it can accomplish that compression visual perception is no-delay, generated data flow can be applicable in different demands without recompiling.It is higher and higher for the resolution ratio of network transmission Streaming Media, in the case of bandwidth requirement is also increasingly wider, it is possible to provide smaller code rate under equal quality.Experiment shows that in the identical situation of image quality, present invention compress mode more common in data transmission and code stream efficiency will improve 80%.
Description
Technical field
The present invention relates to digital high-definition video and audio transmission fields, and in particular to a kind of HD video processing terminal.
Background technique
And with the development of digital technology, high resolution video and audio has completely passed into people's lives now, clarity
The ornamental experience of picture is improved, but the treating capacity of information also increases with it.High resolution video and audio occupies greatly in the transmission
Transmission bandwidth is measured, occupies a large amount of memory spaces in storage, a large amount of computing resource is occupied in post analysis calculating, causes
Very high O&M cost is needed in operation.
The video codec scheme of mainstream is H.264/AVC (Advanced Video Coding, advanced view at present
Frequency encodes) standard, it has been able to obtain higher compression ratio, but such technology is in the case where code rate is fixed to video sequence
Column are handled, and data flow can not be adjusted according to user demand and network condition dynamic.Towards digital Age magnanimity oversize
Video information, compression ratio need to be further increased in order to economize on resources, existing saving bandwidth, the method for storage are usually schemed by reduction
Resolution ratio, clarity, the frame per second of picture, this will substantially reduce the direct feel of video, and cannot do post analysis and calculate (resolving power
It is insufficient).And existing method often changes Document encapsulation format, needs exclusive processing software that could open, user is caused to make
With inconvenience.
Summary of the invention
Goal of the invention: in view of the deficiencies of the prior art, the present invention proposes a kind of HD video processing terminal, can be realized dynamic
State adapts to the high quality high magnification compression conversion of various video flowings, and memory space is saved while so that it is met low-bandwidth transmission.
A kind of technical solution: HD video processing terminal, comprising: frame Image Classifier, for being carried out to each frame image
Classification, extract frame in can structuring content；Image waveform processor, for calling image processing algorithm to can structuring in frame
Part carries out compression processing；Audio frame is to lighting module, for the audio-visual synchronization timestamp after the completion of checking treatment；Predetermined computation
Standard module, for synchronizing standard compensation to the audio-video after the completion of checking treatment；Flow output module, for by audio and
Video is exported to transmission module；Transmission module, for being packaged according to scheduled transmission mode and being assisted according to different transmission
View carries out port match output.
Further, described image waveform processor is used based on wavelet transform and be can be realized simultaneously a variety of flexible
The structuring algorithm of the encoding and decoding of property, handles every frame image.
Further, described image waveform processor includes predicting unit, converter unit, coding unit, and the prediction is single
Member uses adaptive technique reconstructed image, splits into K sub-regions according to recursive mode, each subregion will be according to its image
Imaging features select a kind of reconstruct mode；The converter unit is using adaptive structural data changing method to residual error data
Mathematic(al) manipulation is carried out, statistical redundancy is removed；The coding unit is using context-adaptive variable-length coding algorithm and is based on language
The context adaptive binary arithmetic coding algorithm of method element, to be applicable in different coding scenes.
Further, the predicting unit compensates reconstructed image using adaptive equalization mode, including non-linear
Convert band-like compensation and smothing filtering, median filtering.
Further, described image waveform processor carries out reconstruction image by median filtering in encoding and decoding loop
Classification adds and subtracts an offset to every a kind of image pixel value；By smothing filtering come restoration and reconstruction image, reach reconstruction image with
Mean square deviation between original image is minimum.
The utility model has the advantages that
1, the present invention, can be adaptive according to the characteristic of current block signal using a kind of adaptive structural data change technique
The size that should select variation block, can be realized simultaneously the structured coding of a variety of retractilities, convection current matchmaker for each frame of video flowing
The every frame image real-time perfoming high quality high magnification compression of body.It can accomplish to compress low delay, it is no-delay in user's visual perception.
2, the present invention is in encoding and decoding loop, by the classification to reconstruction image, to every a kind of image pixel value plus-minus one
A offset achievees the purpose that reduce distortion, so that compression ratio is improved, reduction code stream.For the resolution ratio of network transmission Streaming Media
It is higher and higher, in the case of bandwidth requirement is also increasingly wider, it is possible to provide smaller code rate under equal quality.
3, using the present apparatus to video after compression processing, generated data flow can be fitted without recompiling
With different demands, and its resolving power, resolution ratio are constant, can be used for the image analysis calculation of various demands.
Detailed description of the invention
Fig. 1 is video compress apparatus structure block diagram according to an embodiment of the present invention；
Fig. 2 is that video compress device according to an embodiment of the present invention uses schematic diagram.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with attached drawing to reality of the invention
The mode of applying is described in further detail.
Fig. 1 shows the structural block diagram of video compress device according to an embodiment of the present invention, comprising: frame Image Classifier,
For classifying to each frame image, extract in frame can structuring content；Image waveform processor, for calling at image
Adjustment method in frame can structure part carry out compression processing；Audio frame is to lighting module, for the sound view after the completion of checking treatment
Frequency synchronized timestamp；Predetermined computation standard module, for synchronizing standard compensation to the audio-video after the completion of checking treatment；Stream
Output module is used for audio and video outputs to transmission module；Transmission module, for being sealed according to scheduled transmission mode
It fills and port match output is carried out according to different transport protocols.
Described image waveform processor includes predicting unit, converter unit, coding unit, to can structure part in frame
Compression processing is as follows.
Predicting unit: the present invention uses adaptive technique reconstructed image, splits into K sub-regions according to recursive mode,
Each subregion will select a kind of reconstruct mode according to its image imaging features, to reduce the mistake between source images and reconstructed image
Very.The size of macro block is expanded to 72 × 72 from 16 × 16 H.264 by the present invention, in order to the processing of high-resolution video.From
Adaptive compensation mode is the band-like compensation of nonlinear transformation (log and Exp) and smothing filtering, median filtering respectively.Log convert so that
One narrowband low ash degree input image value is mapped as a Broadband emission value, can use this transformation to extend compressed high level figure
Dark pixel as in.Than milder, image hierarchy is more clear image after logarithmic transformation, it is to excessively dark or polarisation figure
As there is preferable compensation effect.Exp transformation has preferable illumination compensation to act on excessively bright image, treated image border
Than more visible.Pixel intensity value etc. is divided into several bands by band-like compensation, and the pixel in each band possesses identical benefit
Value is repaid, the band according to locating for reconstructed image vegetarian refreshments when compensating selects corresponding band-like offset to compensate.Pixel is strong
Degree is divided into 50 grades from 1 to maximum value.Smothing filtering this method mainly carries out Fuzzy Processing and reduces noise, it can be with
Remove the details in image.For median filtering for the random noise of certain type, it provides a kind of outstanding noise removal capability, than
The fog-level of the linear smoothing filter of small size obviously wants low.One kind that such processing mode will have smaller offset
Band is ignored, to save number of coded bits.
Converter unit: the image subtraction after original image and prediction is obtained into residual values, residual error data doing mathematics are converted, are gone
Fall the correlation of data, reduces the statistical redundancy in residual error data, further compressed data.
For the present invention using a kind of adaptive structural data change technique, this thought is to the ABT in H.264/AVC
The extension and extension of technology.It is with the transformation matrix of size identical as prediction block to prediction residual decorrelation, such different masses ruler
The correlation of very little prediction residual coefficient can be fully utilized.For the coding of interframe, it allows to change the big of block
The small size according to motion compensation block carries out adaptive adjustment, and for intraframe coding, it allows to change the big rootlet of block
Adaptive adjustment is carried out according to the characteristic of intra prediction residual difference.Variation of the transformation of bulk relative to fritter, on the one hand can
Better energy localization effects are provided, and more image details can be saved after quantization.
Coding unit: CAVLC entropy coding scheme is used.Existing CAVLC is a kind of algorithm of dynamic coding, and decoding end needs
Want computing capability high-frequency enough can the code stream in real time to high code rate be decoded, directly result in and decode power consumption and reality
The increase of complexity.The present invention modifies adaptation to CAVLC, by taking the coefficient matrix of 4 × 4 sizes as an example, by transformation-quantization
Afterwards, matrix typically exhibits following characteristic:
1, the matrix after change quantization usually has sparse characteristic, i.e., most of data are based on 0 in matrix.
CAVLC can pass through continuous 0 coefficient strin of Run- Length Coding Efficient Compression；
2, the non-zero coefficient of most high frequency of the coefficient matrix by zig-zag scanning is usually to be worth the serial data for being ± 1.CAVLC
It can be by the length of transmitting continuous+1 or -1 come high efficient coding high fdrequency component；
3, the amplitude of nonzero coefficient is usually larger in close DC (i.e. DC component) part, and smaller in high frequency section；
4, the number of non-zero coefficient is related with adjacent block in matrix.
Unless the context outside adaptive coding algorithm, the present invention has also been adapted to the context-adaptive two based on syntactic element
Binary arithmetic coding is respectively used to the coding occasion and efficient coding occasion of low complex degree.The syntactic element of each classification can
Corresponding one or more probability tables.Therefore it when the bit quantity handled by each classification is more balanced, is encoded with original picture format
It compares, the handling capacity of algorithm coding will improve more times.
Further, in encoding and decoding loop, classification by median filtering to reconstruction image, to every a kind of image pixel
One offset of value plus-minus, achievees the purpose that reduce distortion, to improve compression ratio, reduces code stream.In encoding and decoding loop, smoothly
Filtering reaches the mean square deviation between reconstruction image and original image (MSE) minimum for restoration and reconstruction image.Adaptive loop circuit
The coefficient of filtering be frame level calculate and transmit, can with whole frame application adaptive loop filter, can also for be based on block or
Partial region based on quantization tree (quadtree) carries out adaptive loop filter.
Other than improving code efficiency using more flexible structuring algorithm framework, on code architecture, this hair
It is bright to use paralell design, it uses multi-threaded parallel code architecture and designs, to achieve the purpose that improve overall efficiency.
The compression method of the present invention of table 1 and Technical comparing H.264/AVC
As can be seen that compression method of the invention contains range H.264/AVC on technical parameter, and on its basis
On realize more prediction directions, transformation and means of filtering, reach more efficient compressed encoding effect.
A kind of Fig. 2 shows HD video processing terminal uses schematic diagram, and HD video processing terminal bypasses and couples
Enter and obtain video-voice frequency flow in network, does not change original video and audio system architecture, it is different from traditional coding/decoding apparatus series connection, it is in parallel
The operation for not influencing original system after bypass access uses.As shown in Fig. 2, the video data of N railway digital high-definition camera shooting
Be transmitted through the network to interchanger, the bypass of HD video processing terminal is connected in parallel to interchanger, with high-definition camera phase same rate
The bandwidth of (such as 8Mbps) obtains high definition video steaming, carries out coded treatment, and processing rear video code stream is compressed to 500Kbps, and output is returned
It is back to interchanger, can support multi-channel video while being exported.Its treatment process is as follows:
1, frame image classification: classifying to each frame, extract frame in can structuring content.
2, image waveform processing: call algorithm in frame can structure part handle.
3, audio frame compares: the audio-visual synchronization timestamp after the completion of checking treatment.
4, standard compensation predetermined computation standard: is synchronized to the audio-video after the completion of checking treatment.
5, stream exports: by audio and video outputs to transmission module.
6, transport protocol encapsulates: being packaged according to scheduled transmission mode.
7, port match output port match: is carried out according to different transport protocols.
It is more flexible, more more efficient to 1 channel form than traditional coding/decoding apparatus 1 using the channel form of 1 couple of N
Rate.And transport protocol encapsulation need to be only carried out, it does not modify to actual file format.High-definition digital audio-video 1080p/720p exists
The bandwidth of 4-8Mbps is occupied in transmission, makes high-definition digital audio-video in applications such as large area use, transmission, storage, distributions
Produce huge bandwidth pressure, HD video processing terminal of the invention is not changing resolution ratio, frame per second, format, audio
Under the premise of video and audio application, transmission, storage, distribution etc. carried out with the bandwidth of 0.5-0.8Mbps, in data transmission and code stream efficiency
On compared to conventional compression mode can be improved 80% or more.
Claims (6)
1. a kind of HD video processing terminal, which is characterized in that the processing terminal includes；Frame Image Classifier, for every
One frame image is classified, extract frame in can structuring content；Image waveform processor, for calling image processing algorithm pair
It can structure part progress compression processing in frame；Audio frame is to lighting module, when for audio-visual synchronization after the completion of checking treatment
Between stab；Predetermined computation standard module, for synchronizing standard compensation to the audio-video after the completion of checking treatment；Stream output mould
Block is used for audio and video outputs to transmission module；Transmission module, for being packaged simultaneously root according to scheduled transmission mode
Port match output is carried out according to different transport protocols.
2. HD video processing terminal according to claim 1, which is characterized in that described image waveform processor uses base
In the structuring algorithm of wavelet transform and the encoding and decoding that can be realized simultaneously a variety of retractilities, at every frame image
Reason.
3. HD video processing terminal according to claim 1, which is characterized in that the described image waveform processor packet
Predicting unit, converter unit, coding unit are included, the predicting unit uses adaptive technique reconstructed image, according to recursive side
Formula splits into K sub-regions, and each subregion will select a kind of reconstruct mode according to its image imaging features；The converter unit
Mathematic(al) manipulation is carried out to residual error data using adaptive structural data changing method, removes statistical redundancy；The coding is single
Member is calculated using context-adaptive variable-length coding algorithm and the context adaptive binary arithmetic coding based on syntactic element
Method, to be applicable in different coding scenes.
4. HD video processing terminal according to claim 3, which is characterized in that the predicting unit is mended using adaptive
It repays mode to compensate reconstructed image, including the band-like compensation of nonlinear transformation and smothing filtering, median filtering.
5. HD video processing terminal according to claim 3, which is characterized in that described image waveform processor is compiling solution
In code loop, classified by median filtering to reconstructed image, an offset is added and subtracted to every a kind of image pixel value.
6. HD video processing terminal according to claim 3, which is characterized in that described image waveform processor is compiling solution
In code loop, by smothing filtering come recovery and rebuilding image, the mean square deviation reached between reconstructed image and original image is minimum.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115361556A (en) * | 2022-07-12 | 2022-11-18 | 泽恩科技有限公司 | High-efficiency video compression algorithm based on self-adaption and system thereof |
| CN115766969A (en) * | 2022-11-29 | 2023-03-07 | 辉羲智能科技(上海)有限公司 | Vehicle-mounted image processing method, device, medium and computing equipment |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101159864A (en) * | 2007-08-20 | 2008-04-09 | 西安联合信息技术股份有限公司 | Brew platform based audio-video collection and wireless transmission system |
| CN103108186A (en) * | 2013-02-21 | 2013-05-15 | 中国对外翻译出版有限公司 | Method of achieving high-definition transmission of videos |
| CN103220543A (en) * | 2013-04-25 | 2013-07-24 | 同济大学 | Real time three dimensional (3D) video communication system and implement method thereof based on Kinect |
| CN103959794A (en) * | 2011-09-28 | 2014-07-30 | 韩国电子通信研究院 | Method for encoding and decoding images based on constrained offset compensation and loop filter, and apparatus therefor |
| CN104581173A (en) * | 2015-01-13 | 2015-04-29 | 中国电子科技集团公司第三十二研究所 | Soft decoding verification model platform |
| CN106454383A (en) * | 2016-06-01 | 2017-02-22 | 上海魅视数据科技有限公司 | High-rate digital video compression processing system |
| CN107197314A (en) * | 2016-03-14 | 2017-09-22 | 汤姆逊许可公司 | Coded image unit and decoding table show the method and apparatus of the stream of elementary area |
| US9819965B2 (en) * | 2012-11-13 | 2017-11-14 | Intel Corporation | Content adaptive transform coding for next generation video |
| CN108737834A (en) * | 2012-04-13 | 2018-11-02 | 三菱电机株式会社 | Picture coding device, picture decoding apparatus and its method |
-
2019
- 2019-04-22 CN CN201910323336.4A patent/CN110113603A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101159864A (en) * | 2007-08-20 | 2008-04-09 | 西安联合信息技术股份有限公司 | Brew platform based audio-video collection and wireless transmission system |
| CN103959794A (en) * | 2011-09-28 | 2014-07-30 | 韩国电子通信研究院 | Method for encoding and decoding images based on constrained offset compensation and loop filter, and apparatus therefor |
| CN108737834A (en) * | 2012-04-13 | 2018-11-02 | 三菱电机株式会社 | Picture coding device, picture decoding apparatus and its method |
| US9819965B2 (en) * | 2012-11-13 | 2017-11-14 | Intel Corporation | Content adaptive transform coding for next generation video |
| CN103108186A (en) * | 2013-02-21 | 2013-05-15 | 中国对外翻译出版有限公司 | Method of achieving high-definition transmission of videos |
| CN103220543A (en) * | 2013-04-25 | 2013-07-24 | 同济大学 | Real time three dimensional (3D) video communication system and implement method thereof based on Kinect |
| CN104581173A (en) * | 2015-01-13 | 2015-04-29 | 中国电子科技集团公司第三十二研究所 | Soft decoding verification model platform |
| CN107197314A (en) * | 2016-03-14 | 2017-09-22 | 汤姆逊许可公司 | Coded image unit and decoding table show the method and apparatus of the stream of elementary area |
| CN106454383A (en) * | 2016-06-01 | 2017-02-22 | 上海魅视数据科技有限公司 | High-rate digital video compression processing system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115361556A (en) * | 2022-07-12 | 2022-11-18 | 泽恩科技有限公司 | High-efficiency video compression algorithm based on self-adaption and system thereof |
| CN115766969A (en) * | 2022-11-29 | 2023-03-07 | 辉羲智能科技(上海)有限公司 | Vehicle-mounted image processing method, device, medium and computing equipment |
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Application publication date: 20190809 |