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This paper proposes an improved Distributed Compressive Video Sensing (DCVS) framework based on adaptive sparse basis, which integrates the recently emerging Distributed Video Coding (DVC) and Compressive Sensing (CS) theory. The proposed framework incorporates a low-complexity encoder and shifts most computation burden to the decoder-side. At the encoder, the video frames are sampled independently...
In this article, a two-description distributed video coding (2D-DVC) is proposed to address the robust video transmission of low-power capturers. The odd/even frame-splitting partitions a video into two sub-sequences to produce two descriptions. Each description consists of two parts, where part 1 is a zero-motion based H.264-coded bitstream of a sub-sequence and part 2 is a Wyner-Ziv (WZ)-coded bitstream...
Presently, distributed video coding (DVC) arouse high research interests due to the distinct contribution to the low-complexity encoding. In this paper, we propose a hash-based DVC, where the hash bits are compressed by a rate-adaptive low density parity coding accumulate (LDPCA) and sent to aid the decoder in motion estimation. The hash bit-rate is ideally near to its conditional entropy, so we name...
In this paper, a two-description distributed video coding (2D-DVC) is proposed to address the robust video transmission of low-power captures. The odd/even frame-splitting partitions a video into two subsequences to produce two descriptions. Each description consists of two parts, where part 1 is a zero-motion based H.264 coded bitstream of a subsequence and part 2 is a Wyner-Ziv coded bitstream of...
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