Title :
A New Compressive Video Sensing Framework for Mobile Broadcast
Author :
Chengbo Li ; Hong Jiang ; Wilford, Paul ; Yin Zhang ; Scheutzow, M.
Author_Institution :
Dept. of Comput. & Appl. Math., Rice Univ., Houston, TX, USA
Abstract :
A new video coding method based on compressive sampling is proposed. In this method, a video is coded using compressive measurements on video cubes. Video reconstruction is performed by minimization of total variation (TV) of the pixelwise discrete cosine transform coefficients along the temporal direction. A new reconstruction algorithm is developed from TVAL3, an efficient TV minimization algorithm based on the alternating minimization and augmented Lagrangian methods. Video coding with this method is inherently scalable, and has applications in mobile broadcast.
Keywords :
broadcast communication; compressed sensing; discrete cosine transforms; mobile radio; video coding; video communication; TV minimization algorithm; TVAL3; augmented Lagrangian methods; compressive sampling; compressive video sensing framework; mobile broadcast; pixelwise discrete cosine transform coefficients; reconstruction algorithm; temporal direction; total variation minimization; video coding method; video cubes; video reconstruction; Atmospheric measurements; Discrete cosine transforms; Image reconstruction; Minimization; Streaming media; TV; Video coding; Alternating minimization; augmented Lagrangian method; compressive sensing; discrete cosine transform (DCT); scalable video coding; total variation (TV); video coding;
Journal_Title :
Broadcasting, IEEE Transactions on
DOI :
10.1109/TBC.2012.2226509
