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Video coding and decoding system based on dictionary learning and compressed sensing

A video codec and compressed sensing technology, which is applied in the field of video compressed sensing and image sparse representation, can solve the problems of high computing power and memory capacity of the encoder and unsuitable problems, so as to reduce the amount of transmitted data and improve the reconstruction accuracy , the effect of reducing the refactoring time

Inactive Publication Date: 2014-02-19
TIANJIN UNIV
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Problems solved by technology

[0003] However, no matter it is the traditional video coding technology of H.26X series or MPEG series, it adopts a complex system structure at the encoding end and a simple decoding end, that is, the encoding end uses inter-frame prediction, intra-frame prediction and discrete cosine transform (DCT) to remove Temporal and spatial redundancy for high compression efficiency, which makes the entire system very demanding on the computing power and memory capacity of the encoder, much higher than that of the decoder
Therefore, traditional video coding methods are not suitable for the above fields

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[0017] In order to achieve the above objective, the present invention uses the compressed sensing based on dictionary learning to complete the entire video coding and decoding system. It mainly includes two parts: video encoding end and decoding end.

[0018] At the encoding end, according to the requirements of reconstruction accuracy and real-time performance, the frames in the video will be divided into two categories, one is key frames (K frames), and the other is non-key frames (CS frames). Every two frames form a group, that is, the group of pictures (GOP) is 2, the odd-numbered frames are K frames, and the CS frames of the group are immediately followed. For K frames, according to the theory of compressed sensing, the image pixel data of the K frames are temporarily stored, and then the dimension is reduced through the observation matrix Φ, and the reduced data is transmitted to the decoding end through the wireless transmitting module. For the CS frame, after reading the...

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Abstract

The invention relates to the field of video compressed sensing and image sparse representation, and discloses a video coding and decoding system based on compressed sensing. The video coding and decoding system based on compressed sensing is designed to make a wireless video sensing network have the advantages that the complexity and calculated amount of a coding terminal are small, the volume of data transmitted through a channel is small and a decoding terminal can carry out high-quality real-time video reconstruction. According to the technical scheme, the video coding and decoding system based on dictionary learning and compressed sensing mainly comprises the video coding terminal and the video decoding terminal, wherein the coding terminal is used for temporarily storing image pixel data of K frames, reducing the dimensionality of the image pixel data of the K frames and transmitting data after dimensionality reduction to the decoding terminal through a wireless transmitting module according to the compressed sensing theory, and the decoding terminal is used for decoding the K frames according to the compressed sensing reconstruction algorithm (namely, the improved NSL0 method), storing the K frames and finally forming a video through integration according to frame sequences and outputting the video. The video coding and decoding system based on compressed sensing is mainly applied to video compressed sensing and transmission.

Description

Technical field [0001] The present invention relates to the fields of video compressed sensing and image sparse representation, and in particular to a compressed sensing video coding and decoding system based on dictionary learning. Background technique [0002] The present invention is mainly aimed at some video application fields with limited resources at the encoding end, such as video surveillance, wireless video sensor networks and the like. Due to the limitations of the equipment and environment, this application field requires a low-complexity, low-power encoding end to ensure long-term stable work, and the receiving end can perform a large amount of data storage and complex decoding calculations. [0003] However, both the H.26X series and the MPEG series of traditional video coding technologies adopt a complex system structure at the encoding end and simple decoding end, that is, the encoding end uses inter-frame prediction, intra-frame prediction and discrete cosine trans...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/177H04N19/61H04N19/88
Inventor 郭继昌金卯亨嘉申燊许颖孙骏
Owner TIANJIN UNIV
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