Distributed compressed sensing video encoding and decoding method based on foreground-background separation

A video encoding and decoding, compressed sensing technology, applied in the field of distributed compressed sensing video encoding and decoding, to achieve the effect of reducing complexity and high reconstruction quality

Inactive Publication Date: 2016-05-04
TIANJIN UNIV
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Problems solved by technology

[0004] Simple compressed sensing video codec can reduce the complexity of the encoding end, but this algorithm requires source encoding for each video frame

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  • Distributed compressed sensing video encoding and decoding method based on foreground-background separation
  • Distributed compressed sensing video encoding and decoding method based on foreground-background separation

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Embodiment Construction

[0014] The present invention will be described in more detail in conjunction with the accompanying drawings.

[0015] Such as figure 1 The encoding and decoding process of the distributed compressed sensing algorithm based on foreground and background separation is as follows:

[0016] On the encoding side, according to the reconstruction accuracy and real-time requirements, the video is divided into key frames (I frames) and non-key frames (P frames) according to the frame order. In this model, every two frames form a picture group, that is, the GOP is 2, and the odd-numbered frame is an I frame, and the even-numbered frame that follows it is a P frame. For an I frame, an appropriate observation matrix, such as the local Hadamard matrix SBHE, is selected to measure it. For the P frame, it is necessary to separate the background and the foreground from the corresponding I frame, and then use the same observation matrix to measure the separated foreground. Here the differenc...

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Abstract

The invention relates to a distributed compressed sensing video encoding and decoding method based on foreground-background separation, comprising the following steps: dividing a video according to the frame sequence into key frames (I frames) and non-key frames (P frames) based on the requirements of reconstruction accuracy and real-time performance; for the I frames, selecting an appropriate observation matrix to measure the I frames; for the P frames, performing foreground-background separation on the P frames and the corresponding I frames and then using the same observation matrix to measure the separated foreground, completing foreground-background separation in a differential manner, introducing decoding mode judgment at an encoder, classifying the decoding modes of the P frame in a GOP into three categories: a skip mode, a normal mode and a dictionary learning mode, and using the same observation matrix to measure the difference. By using the method, the complexity of the encoder can be reduced.

Description

technical field [0001] The invention belongs to the technical field of distributed video coding, and in particular relates to a distributed compressed sensing video codec based on foreground and background separation. Background technique [0002] The traditional video coding algorithm performs motion estimation and motion compensation at the encoding end, and has complex calculations at the encoding end, which leads to high complexity at the encoding end and is not suitable for low-complexity system requirements. Therefore, the traditional video coding algorithm based on H.264 / AVC's video coding scheme uses complex motion compensation predictive coding technology at the coding end, resulting in high complexity at the coding end, and it is difficult to meet the requirements of low power consumption and low complexity at the coding end in wireless video surveillance networks, mobile network video communications and other fields. Require. Therefore, in order to meet the requ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/142H04N19/177H04N19/61H04N19/42
Inventor 潘静宋占杰周璇王建
Owner TIANJIN UNIV
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