Li, ChengboJiang, HongWilford, PaulZhang, YinScheutzow, Mike2013-04-012014-04-022013-03Li, Chengbo, Jiang, Hong, Wilford, Paul, et al.. "A New Compressive Video Sensing Framework for Mobile Broadcast." <i>IEEE Transactions on Broadcasting,</i> 59, no. 1 (2013) IEEE: 197-205. http://dx.doi.org/10.1109/TBC.2012.2226509.https://hdl.handle.net/1911/70876A 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.engJournal articlealternating minimizationaugmented Lagrangian methodcompressive sensingdiscrete cosine transform (DCT)scalable video codingtotal variation (TV)video codinghttp://dx.doi.org/10.1109/TBC.2012.2226509