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Proceedings Paper

Compression of point-texture 3D motion sequences
Author(s): In-Wook Song; Chang-Su Kim; Sang-Uk Lee
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Paper Abstract

In this work, we propose two compression algorithms for PointTexture 3D sequences: the octree-based scheme and the motion-compensated prediction scheme. The first scheme represents each PointTexture frame hierarchically using an octree. The geometry information in the octree nodes is encoded by the predictive partial matching (PPM) method. The encoder supports the progressive transmission of the 3D frame by transmitting the octree nodes in a top-down manner. The second scheme adopts the motion-compensated prediction to exploit the temporal correlation in 3D sequences. It first divides each frame into blocks, and then estimates the motion of each block using the block matching algorithm. In contrast to the motion-compensated 2D video coding, the prediction residual may take more bits than the original signal. Thus, in our approach, the motion compensation is used only for the blocks that can be replaced by the matching blocks. The other blocks are PPM-encoded. Extensive simulation results demonstrate that the proposed algorithms provide excellent compression performances.

Paper Details

Date Published: 25 October 2005
PDF: 12 pages
Proc. SPIE 6015, Multimedia Systems and Applications VIII, 60151E (25 October 2005); doi: 10.1117/12.630234
Show Author Affiliations
In-Wook Song, Seoul National Univ. (South Korea)
Chang-Su Kim, Korea University (South Korea)
Sang-Uk Lee, Seoul National Univ. (South Korea)


Published in SPIE Proceedings Vol. 6015:
Multimedia Systems and Applications VIII
Anthony Vetro; Chang Wen Chen; C.-C. J. Kuo; Tong Zhang; Qi Tian; John R. Smith, Editor(s)

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