Video coding and decoding method based on multiple description CS measurement value

A technology for video decoding and video encoding, applied in the field of video encoding for the video encoding, to achieve the effects of improving robustness, small delay, and good reconstruction effect

Inactive Publication Date: 2015-02-04
HOHAI UNIV CHANGZHOU
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Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies in the prior art and provide a video coding method based on multiple descriptions of CS measurement values, which can improve the quality and robustness of video image reconstruction without increasing the coding complexity

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  • Video coding and decoding method based on multiple description CS measurement value
  • Video coding and decoding method based on multiple description CS measurement value
  • Video coding and decoding method based on multiple description CS measurement value

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Embodiment Construction

[0064] Such as figure 1 Shown is a system block diagram of a multi-description video encoding and decoding method based on CS measurement values ​​in distributed video compression sensing, including an encoding end, a decoding end, and an output end. The encoding end is used to perform key frame encoding and CS frame encoding, the decoding end decodes the encoded key frame and the encoded CS frame respectively, and outputs the reconstructed key frame and the reconstructed CS frame, and the output end performs block order on the reconstructed key frame and the reconstructed CS frame Frames are combined, and finally a video sequence is output.

[0065] For the encoding end, including the key frame encoding end and the CS frame encoding end, the key frame encoding end and the CS frame encoding end both include their own measurement modules and quantization and entropy encoding units for block measurement. The difference is that the CS frame The encoding end also includes a multi...

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Abstract

The invention discloses a video coding and decoding method based on multiple description CS measurement value. The coding method comprises steps: a video image sequence is divided into a key frame and a CS frame; block-based measurement, quantization and entropy coding are adopted for the key frame; a multiple description idea is adopted for the CS frame to describe a block-based measurement value in two ways; and quantization and entropy coding are separately carried out. The decoding method comprises steps: after key frame data are received, inverse quantization is firstly carried out on entropy decoding to obtain a measurement value, the key frame block is initially reconstructed, and multiple hypothesis prediction and reconstruction are carried out inside the frame; after CS frame multiple description code stream is received, inverse quantization is carried out on entropy decoding; a measurement value based on multiple description is generated; and CS frame multiple description adaptive inter-frame multiple hypothesis reconstruction is carried out. In the condition of not increasing complexity of the coding end, the reconstruction quality and robustness of a video image are improved.

Description

technical field [0001] The present invention relates to a video encoding method based on multiple descriptions of CS measurement values, and also relates to a video encoding method for the video encoding, which belongs to the technical field of image communication. Background technique [0002] With the development of multimedia technology, a large amount of video data transmission has become an urgent need. The resulting network congestion, random bit errors and data packet loss have brought huge challenges to video data transmission. The distributed video compressed sensing system uses the joint sparse model (JSM, Joint Sparsity Model) to combine the characteristics of compressed sensing and distributed video coding, and performs compressed sensing measurement on video data at the video encoding end, and uses continuous frame correlation at the decoding end to generate Side information enables joint decoding. Reduce the complexity of the coding end, improve the quality o...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/39H04N19/189
Inventor 张瑶朱金秀倪建军张学武裴颖程浩毛欢欢倪舒淇汤一彬
Owner HOHAI UNIV CHANGZHOU
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