Paper
24 October 2005 Compression of point-texture 3D motion sequences
Author Affiliations +
Proceedings Volume 6015, Multimedia Systems and Applications VIII; 60151E (2005) https://doi.org/10.1117/12.630234
Event: Optics East 2005, 2005, Boston, MA, United States
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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
In-Wook Song, Chang-Su Kim, and Sang-Uk Lee "Compression of point-texture 3D motion sequences", Proc. SPIE 6015, Multimedia Systems and Applications VIII, 60151E (24 October 2005); https://doi.org/10.1117/12.630234
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KEYWORDS
Computer programming

Distortion

Image compression

Binary data

3D image processing

3D modeling

Cameras

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