A new compressive video sensing framework for mobile communications

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 total variation (TV) of the pixelwise DCT coefficients along temporal direction. The reconstruction algorithm is extended 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 communications. Index Terms--Video coding, scalable video coding, compressive sensing, total variation, discrete cosine transform, alternating minimization, augmented Lagrangian method