Correlation structure analysis for distributed video compression over wireless video sensor networks

Zhihai He; Xi Chen

doi:10.1117/12.644793

19 January 2006 Correlation structure analysis for distributed video compression over wireless video sensor networks

Zhihai He, Xi Chen

Proceedings Volume 6077, Visual Communications and Image Processing 2006; 60770S (2006) https://doi.org/10.1117/12.644793
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

From the information-theoretic perspective, as stated by the Wyner-Ziv theorem, the distributed source encoder doesn't need any knowledge about its side information in achieving the R-D performance limit. However, from the system design and performance analysis perspective, correlation modeling plays an important role in analysis, control, and optimization of the R-D behavior of the Wyner-Ziv video coding In this work, we observe that videos captured from a wireless video sensor network (WVSN) are uniquely correlated under the multi-view geometry. We propose to utilize this computer vision principal, as well as other existing information, which is already available or can be easily obtained from the encoder, to estimate the source correlation structure. The source correlation determines the R-D behavior of the Wyner-Ziv encoder, and provide useful information for rate control and performance optimization of the Wyner-Ziv encoder.

Citation Download Citation

Zhihai He and Xi Chen "Correlation structure analysis for distributed video compression over wireless video sensor networks", Proc. SPIE 6077, Visual Communications and Image Processing 2006, 60770S (19 January 2006); https://doi.org/10.1117/12.644793

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