Soft Video Multicasting Using Adaptive Compressed Sensing

Recently, soft video multicasting has gained a lot of attention, especially in broadcast and mobile scenarios where the bit rate supported by channel may differ across receivers, vary quickly over time. Unlike conventional designs that force source to use single according receiver with worst quality, delivery schemes transmit such quality at each is commensurate its specific instantaneous quality. In this paper, we present system using an adaptive block-based compressed sensing (BCS) method. The proposed consists encoder, transmission system, decoder. At encoder side, block frame input adaptively sampled depends on texture complexity visual saliency block. obtained BCS samples are then placed into several packets, packets transmitted via channel-aware OFDM (orthogonal frequency division multiplexing) number subchannels. decoder received first used build initial approximation frame. To further improve reconstruction iterative algorithm uses transform soft-thresholding operator, which exploits temporal similarity between adjacent frames achieve better extensive objective subjective experimental results indicate superiority state-of-the-art systems.