DocumentCode :
2823581
Title :
Multiple description video coding against both erasure and bit errors by compressive sensing
Author :
Wang, Liangjun ; Wu, Xiaolin ; Shi, Guangming
Author_Institution :
Sch. of Electron. Eng., Xidian Univ., Xi´´an, China
fYear :
2011
fDate :
6-9 Nov. 2011
Firstpage :
1
Lastpage :
4
Abstract :
We propose a novel multiple description video coding (MDVC) technique for robust video transmission via lossy networks of both packet erasure and bit errors. The new MDVC technique is designed to meet two objectives: ultra fine description granularity and low encoder complexity, which allow resource-deprived video transmitters (e.g., smart phones) to operate in time-varying adverse network conditions. These design goals are met by the signal acquisition and coding strategy of compressive sensing, and by locally adaptive sparse representation of video signals.
Keywords :
adaptive signal processing; image representation; signal detection; video coding; adaptive sparse representation; bit errors; coding strategy; compressive sensing; erasure errors; lossy networks; low encoder complexity; multiple description video coding; packet erasure; resource-deprived video transmitter; robust video transmission; signal acquisition; time-varying adverse network condition; ultra fine description granularity; Decoding; Encoding; PSNR; Pollution measurement; Vectors; Video coding; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Communications and Image Processing (VCIP), 2011 IEEE
Conference_Location :
Tainan
Print_ISBN :
978-1-4577-1321-7
Electronic_ISBN :
978-1-4577-1320-0
Type :
conf
DOI :
10.1109/VCIP.2011.6116045
Filename :
6116045
Link To Document :
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