Showing papers by "William A. Pearlman published in 2012"
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TL;DR: The progressive significance map (prog-sig-map) is complementary to existing independent packetization and channel-coding-based error-resilient approaches and readily lends itself to other source coding applications such as distributed video coding.
Abstract: Set partition coding (SPC) has shown tremendous success in image compression. Despite its popularity, the lack of error resilience remains a significant challenge to the transmission of images in error-prone environments. In this paper, we propose a novel data representation called the progressive significance map (prog-sig-map) for error-resilient SPC. It structures the significance map (sig-map) into two parts: a high-level summation sig-map and a low-level complementary sig-map (comp-sig-map). Such a structured representation of the sig-map allows us to improve its error-resilient property at the price of only a slight sacrifice in compression efficiency. For example, we have found that a fixed-length coding of the comp-sig-map in the prog-sig-map renders 64% of the coded bitstream insensitive to bit errors, compared with 40% with that of the conventional sig-map. Simulation results have shown that the prog-sig-map can achieve highly competitive rate-distortion performance for binary symmetric channels while maintaining low computational complexity. Moreover, we note that prog-sig-map is complementary to existing independent packetization and channel-coding-based error-resilient approaches and readily lends itself to other source coding applications such as distributed video coding.
10 citations
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TL;DR: A novel image sequence coding system, called motion differential SPC (M-D-SPC), is presented, which removes inter-frame redundancy by re-using the significance map of a previously SPC coded frame, and achieves higher coding efficiency compared to the all-intra-coding schemes.
6 citations
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TL;DR: A distributed video coding (DVC) system based on wavelet transform and set partition coding (SPC) is presented, which utilizes a higher structured significance map, named progressive significance map (prog-sig-map), which structures the significance information into two parts: a high-level summation significance map and a low-level complementary significance map.
Abstract: A distributed video coding (DVC) system based on wavelet transform and set partition coding (SPC) is presented
in this paper. Conventionally the significance map (sig-map) of SPC is not conducive to Slepian-Wolf
(SW) coding, because of the difficulty of generating a side information sig-map and the sensitivity to decoding
errors. The proposed DVC system utilizes a higher structured significance map, named progressive significance
map (prog-sig-map), which structures the significance information into two parts: a high-level summation significance
map (sum-sig-map) and a low-level complementary significance map (comp-sig-map). This prog-sig-map
alleviates the above difficulties and thus makes part of the prog-sig-map (specifically, the fixed-length-coded
comp-sig-map) suitable for SW coding. Simulation results are provided showing the improved rate-distortion
performance of the DVC system even with a simple system configuration.
1 citations