Abstract
We show that distributed source coding of multi-view images using adaptive modules-operation can come close to the Slepian-Wolf bound. In the systematic scenario considered, two parent nodes (PN1 and PN2) on sides and child nodes (CNs) are located between PNs, which are statistically depended. A PN sends the whole image whereas a CN only partially, using an adaptive distributed source coding at a rate close to H(CN|PN1, PN2). The proposed scheme allows independent encoding and jointly decoding of views. Experimental results show performance close to the information-theoretic limit. Furthermore, good performance of the proposed architecture with adaptive scheme shows significant improvement over previous work.
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Tehrani, M.P., Droese, M., Fujii, T., Tanimoto, M. (2004). Adaptive Distributed Source Coding for Multi-view Images. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds) Advances in Multimedia Information Processing - PCM 2004. PCM 2004. Lecture Notes in Computer Science, vol 3333. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30543-9_32
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DOI: https://doi.org/10.1007/978-3-540-30543-9_32
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