The Adaptive Distributed Source Coding of Multi-View Images in Camera Sensor Networks

Mehrdad PANAHPOUR TEHRANI; Toshiaki FUJII; Masayuki TANIMOTO

doi:10.1093/ietfec/e88-a.10.2835

The Adaptive Distributed Source Coding of Multi-View Images in Camera Sensor Networks

Mehrdad PANAHPOUR TEHRANI, Toshiaki FUJII, Masayuki TANIMOTO

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We show that distributed source coding of multi-view images in camera sensor networks (CSNs) using adaptive modules can come close to the Slepian-Wolf bound. In a systematic scenario with limited node abilities, work by Slepian and Wolf suggest that it is possible to encode statistically dependent signals in a distributed manner to the same rate as with a system where the signals are jointly encoded. We considered three nodes (PN, CN and CNs), which are statistically depended. Different distributed architecture solutions are proposed based on a parent node and child node framework. A PN sends the whole image whereas a CNs/CN only partially, using an adaptive coding based on adaptive module-operation at a rate close to theoretical bound - H(CNs|PN)/H(CN|PN,CNs). CNs sends sub-sampled image and encodes the rest of image, however CN encodes all image. In other words, 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.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E88-A No.10 pp.2835-2843

Publication Date: 2005/10/01

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DOI: 10.1093/ietfec/e88-a.10.2835

Type of Manuscript: Special Section PAPER (Special Section on Information Theory and Its Applications)

Category: Image Coding

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Mehrdad PANAHPOUR TEHRANI, Toshiaki FUJII, Masayuki TANIMOTO, "The Adaptive Distributed Source Coding of Multi-View Images in Camera Sensor Networks" in IEICE TRANSACTIONS on Fundamentals, vol. E88-A, no. 10, pp. 2835-2843, October 2005, doi: 10.1093/ietfec/e88-a.10.2835.
Abstract: We show that distributed source coding of multi-view images in camera sensor networks (CSNs) using adaptive modules can come close to the Slepian-Wolf bound. In a systematic scenario with limited node abilities, work by Slepian and Wolf suggest that it is possible to encode statistically dependent signals in a distributed manner to the same rate as with a system where the signals are jointly encoded. We considered three nodes (PN, CN and CNs), which are statistically depended. Different distributed architecture solutions are proposed based on a parent node and child node framework. A PN sends the whole image whereas a CNs/CN only partially, using an adaptive coding based on adaptive module-operation at a rate close to theoretical bound - H(CNs|PN)/H(CN|PN,CNs). CNs sends sub-sampled image and encodes the rest of image, however CN encodes all image. In other words, 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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e88-a.10.2835/_p

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@ARTICLE{e88-a_10_2835,
author={Mehrdad PANAHPOUR TEHRANI, Toshiaki FUJII, Masayuki TANIMOTO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={The Adaptive Distributed Source Coding of Multi-View Images in Camera Sensor Networks},
year={2005},
volume={E88-A},
number={10},
pages={2835-2843},
abstract={We show that distributed source coding of multi-view images in camera sensor networks (CSNs) using adaptive modules can come close to the Slepian-Wolf bound. In a systematic scenario with limited node abilities, work by Slepian and Wolf suggest that it is possible to encode statistically dependent signals in a distributed manner to the same rate as with a system where the signals are jointly encoded. We considered three nodes (PN, CN and CNs), which are statistically depended. Different distributed architecture solutions are proposed based on a parent node and child node framework. A PN sends the whole image whereas a CNs/CN only partially, using an adaptive coding based on adaptive module-operation at a rate close to theoretical bound - H(CNs|PN)/H(CN|PN,CNs). CNs sends sub-sampled image and encodes the rest of image, however CN encodes all image. In other words, 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.},
keywords={},
doi={10.1093/ietfec/e88-a.10.2835},
ISSN={},
month={October},}

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TY - JOUR
TI - The Adaptive Distributed Source Coding of Multi-View Images in Camera Sensor Networks
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2835
EP - 2843
AU - Mehrdad PANAHPOUR TEHRANI
AU - Toshiaki FUJII
AU - Masayuki TANIMOTO
PY - 2005
DO - 10.1093/ietfec/e88-a.10.2835
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E88-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2005
AB - We show that distributed source coding of multi-view images in camera sensor networks (CSNs) using adaptive modules can come close to the Slepian-Wolf bound. In a systematic scenario with limited node abilities, work by Slepian and Wolf suggest that it is possible to encode statistically dependent signals in a distributed manner to the same rate as with a system where the signals are jointly encoded. We considered three nodes (PN, CN and CNs), which are statistically depended. Different distributed architecture solutions are proposed based on a parent node and child node framework. A PN sends the whole image whereas a CNs/CN only partially, using an adaptive coding based on adaptive module-operation at a rate close to theoretical bound - H(CNs|PN)/H(CN|PN,CNs). CNs sends sub-sampled image and encodes the rest of image, however CN encodes all image. In other words, 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.
ER -