DocumentCode
3312571
Title
Video coding using compressive sensing for wireless communications
Author
Li, Chengbo ; Jiang, Hong ; Wilford, Paul ; Zhang, Yin
Author_Institution
Comput. & Appl. Math. Dept., Rice Univ., Houston, TX, USA
fYear
2011
fDate
28-31 March 2011
Firstpage
2077
Lastpage
2082
Abstract
A new video coding method based on compressive sampling is proposed, in which a video is coded using compressive measurements on video cubes. Video reconstruction is based on minimizing the total variation (TV) of the pixelwise DCT coefficients along temporal direction. The reconstruction algorithm is an efficient TV minimization algorithm based on the augmented Lagrangian method and an alternating minimization technique.
Keywords
image reconstruction; radio networks; video coding; TV minimization algorithm; augmented Lagrangian method; compressive measurements; compressive sensing; pixelwise DCT coefficients; video coding; video cubes; video reconstruction; wireless communications; Discrete cosine transforms; Image reconstruction; Minimization; Streaming media; TV; Three dimensional displays; Video coding; Video coding; alternating minimization; augmented Lagrangian method; compressive sensing; discrete cosine transform; scalable video coding; total variation;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications and Networking Conference (WCNC), 2011 IEEE
Conference_Location
Cancun, Quintana Roo
ISSN
1525-3511
Print_ISBN
978-1-61284-255-4
Type
conf
DOI
10.1109/WCNC.2011.5779474
Filename
5779474
Link To Document