Efficient spatiotemporal segmentation for very low bitrate video coding

Jason Handcock; Cedric Nishan Canagarajah; Wolfgang Tellert; David R. Bull

doi:10.1117/12.298367

9 January 1998 Efficient spatiotemporal segmentation for very low bitrate video coding

Jason Handcock, Cedric Nishan Canagarajah, Wolfgang Tellert, David R. Bull

Proceedings Volume 3309, Visual Communications and Image Processing '98; (1998) https://doi.org/10.1117/12.298367
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States

Abstract

The goal of low bit rate video coding is to minimize the number of bits which are required to represent a video coding schemes remove spatial and temporal redundancy by using block based motion compensation and transform coding such as DCT. However the disadvantages of these techniques is that blocking artifacts occur at high compression ratios due to the fact that the block structures are not adapted to the image contents. In this paper an efficient joint spatio- temporal segmentation scheme is proposed to segment and represent image contents based on the spatial characteristics and motion vectors. Two spatio-temporal segmentation algorithms have been proposed. The first uses arbitrarily shaped regions and the other an efficient quad- tree structure which is well suited to very low bit rate video coding. The experimental results show that the proposed scheme produced significant improvements in both objective and subjective quality at low bit rates when compared with fixed block-size segmentation.

Citation Download Citation

Jason Handcock, Cedric Nishan Canagarajah, Wolfgang Tellert, and David R. Bull "Efficient spatiotemporal segmentation for very low bitrate video coding", Proc. SPIE 3309, Visual Communications and Image Processing '98, (9 January 1998); https://doi.org/10.1117/12.298367

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