The fine-grained scalable video coding based on matching pursuits
Since channel capacity varies depending on the network traffic and the capacity of each reception, fine granularity scalability (FGS) of video coding has emerged over the past years as an important area in multimedia streaming applications. We propose a FGS video codec and a two-layer SNR scalable video codec. Both of these are based on matching pursuits (MP). The bit plane atom coding is presented to achieve the SNR scalable matching pursuits. We also propose a differential quadtree-based algorithm to encode atom positions efficiently. The, performance of our methods are compared with those of H.263+ and DCT-based FGS coder.