Dense Disparity Estimation in a Multi-view Distributed Video Coding System

Distributed video coding (DVC) is a recent paradigm which aims at transferring part of the coding complexity from the encoder to the decoder. The performance of such a coding scheme strongly depends on the capacity to estimate correlation at the decoder and, consequently, on the side information quality. In this paper we consider a multi-view DVC framework and propose a very efficient dense dis- parity estimation technique for side information construction, based on a variational formulation. The simulation results show that our approach clearly outperforms the existing methods for inter-view side-information generation.


Presented at:
IEEE, International Conference on Acoustic, Speech and Signal Processing, Taipei, Taiwan, April, 2009
Year:
2009
Laboratories:




 Record created 2010-12-27, last modified 2018-09-13

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