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Distributed Video coding based on compressed sensing is considered in this paper. Side information plays an important role in the quality of decoded non-key video frames. Existing systems generate side information based on the decoded key frames and the processes are quite complicated, increasing the computation burden at the decoder. We propose a side information generation method that is founded...
Compressed Sensing (CS) is a new approach to signal acquisition that can potentially allow us to design very simple video encoders that can be implemented on mobile devices with limited resources. However, previously proposed CS based video codec either require a conventional video codec or a feedback channel for effective operation, thus increasing the complexity. In this paper, a distributed Compressed...
Compressed Video Sensing (CVS) is the application of the theory and principles of Compressed Sensing to video coding. Previous research has largely ignored the effects of quantization on the random measurements. In this paper, we showed that Gaussian quantization of the CVS coefficients produce higher quality reconstructed videos compared to using MPEG and uniform quantization. Furthermore, the quantization...
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