Video encoding and decoding method with multiple descriptions based on 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, good decoding, and small delay
Inactive Publication Date: 2017-09-29
HOHAI UNIV CHANGZHOU
View PDF4 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
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
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0064] like 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-de...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a multi-description video encoding method based on CS measurement values. The encoding method includes: dividing a video image sequence into key frames and CS frames: adopting block-based measurement, quantization, and entropy encoding for key frames; Using the idea of multiple descriptions, the block-based measurement values are described in two ways, which are quantized and entropy coded respectively. The decoding method includes: after receiving the key frame data, entropy decoding and inverse quantization is performed first to obtain the measured value, the block initial reconstruction of the key frame, and intra-frame multi-hypothesis prediction reconstruction; after receiving the CS frame multi-description code stream, entropy decoding and inverse quantization; Measurement value generation based on multiple descriptions; multi-description adaptive inter-frame multi-hypothesis reconstruction of CS frames. The invention improves the reconstruction quality and robustness of the video image without increasing the complexity of the coding end.
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...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(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