Learn More
—H.264 is the ITU-T's new, nonbackward compatible video compression Recommendation that significantly outper-forms all previous video compression standards. It consists of a video coding layer (VCL) which performs all the classic signal processing tasks and generates bit strings containing coded macroblocks, and a network adaptation layer (NAL) which adapts(More)
We propose a method that extracts sparse and spatially localized deformation modes from an animated mesh sequence. To this end, we propose a new way to extend the theory of sparse matrix decompositions to 3D mesh sequence processing, and further contribute with an automatic way to ensure spatial locality of the decomposition in a new optimization framework.(More)
—We present a novel approach for compression of depth maps based on Compressed Sensing and Sparse Coding. Our proposed scheme compresses and stores the depth map, and then—during the decompression step—makes use of the readily available additional RGB information to guide the reconstruction. We introduce additional constraints to the underlying optimization(More)
–In this paper we review error resilience techniques for real-time video transport over unreliable networks. Topics covered include an introduction to today's protocol and network environments and their characteristics, encoder error resilience tools, decoder error concealment techniques, as well as techniques that require cooperation between encoder,(More)
Multiple description coding (MDC) offers a competitive solutionfor video transmission over lossy packet networks,with a graceful degradation of the reproduced quality as theloss rate increases. This paper illustrates how redundantpictures, an error resilience tool included in H.264/AVC,can be employed in conjunction with multiple state videocoding scheme,(More)