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
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;
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2011 IEEE
Conference_Location :
Cancun, Quintana Roo
Print_ISBN :
978-1-61284-255-4
DOI :
10.1109/WCNC.2011.5779474
