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Hierarchical motion estimation for side information creation in Wyner-Ziv video coding

Published:31 January 2008Publication History

ABSTRACT

Recently, several video coding solutions based on the distributed source coding paradigm have appeared in the literature. Among them, Wyner-Ziv video coding schemes enable to achieve a flexible distribution of the computational complexity between the encoder and decoder, promising to fulfill requirements of emerging applications such as visual sensor networks and wireless surveillance. To achieve a performance comparable to the predictive video coding solutions, it is necessary to increase the quality of the side information, this means the estimation of the original frame created at the decoder. In this paper, a hierarchical motion estimation (HME) technique using different scales and increasingly smaller block sizes is proposed to generate a more reliable estimation of the motion field. The HME technique is integrated in a well known motion compensated frame interpolation framework responsible for the creation of the side information in a Wyner-Ziv video decoder. The proposed technique enables to achieve improvements in the rate-distortion (RD) performance up to 7 dB when compared to H.263+ Intra and 3 dB when compared to H.264/AVC Intra.

References

  1. Ascenso, J., Brites, C., and Pereira, F. 2005. Improving Frame Interpolation with Spatial Motion Smoothing for Pixel Domain Distributed Video Coding. 5th EURASIP Conference on Speech and Image Processing, Multimedia Communications and Services (Smolenice, Slovak Republic, June 29 - July 02, 2005).Google ScholarGoogle Scholar
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  1. Hierarchical motion estimation for side information creation in Wyner-Ziv video coding

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                  cover image ACM Conferences
                  ICUIMC '08: Proceedings of the 2nd international conference on Ubiquitous information management and communication
                  January 2008
                  604 pages
                  ISBN:9781595939937
                  DOI:10.1145/1352793

                  Copyright © 2008 ACM

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                  Association for Computing Machinery

                  New York, NY, United States

                  Publication History

                  • Published: 31 January 2008

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