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Proceedings Paper

Efficient spatiotemporal segmentation for very low bitrate video coding
Author(s): Jason Handcock; Cedric Nishan Canagarajah; Wolfgang Tellert; David R. Bull
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Paper 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.

Paper Details

Date Published: 9 January 1998
PDF: 8 pages
Proc. SPIE 3309, Visual Communications and Image Processing '98, (9 January 1998); doi: 10.1117/12.298367
Show Author Affiliations
Jason Handcock, Univ. of Bristol (United Kingdom)
Cedric Nishan Canagarajah, Univ. of Bristol (United Kingdom)
Wolfgang Tellert, Univ. of Bristol (Germany)
David R. Bull, Univ. of Bristol (United Kingdom)


Published in SPIE Proceedings Vol. 3309:
Visual Communications and Image Processing '98
Sarah A. Rajala; Majid Rabbani, Editor(s)

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