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Sim, Jae-Young
Visual Information Processing Lab (VIP Lab)
Research Interests
  • Image processing, computer vision, 3D visual processing, signal processing


Compression of 3-D point visual data using vector quantization and rate-distortion optimization

DC Field Value Language Sim, Jae-Young ko Lee, Sang-Uk ko 2014-10-29T00:20:40Z - 2014-10-28 ko 2008-04 ko
dc.identifier.citation IEEE TRANSACTIONS ON MULTIMEDIA, v.10, no.3, pp.305 - 315 ko
dc.identifier.issn 1520-9210 ko
dc.identifier.uri -
dc.description.abstract In this paper, we propose adaptive and flexible quantization and compression algorithms for 3-D point data using vector quantization (VQ) and rate-distortion (R-D) optimization. The point data are composed of the position and the radius of sphere based on QSplat representation. The positions of child spheres are first transformed to the local coordinate system, which is determined by the parentchildren relationship. The local coordinate transform makes the positions more compactly distributed in 3-D space, facilitating an effective application of VQ. We also develop a constrained encoding method for the radius data, which can provide a hole-free surface rendering at the decoder side. Furthermore, R-D optimized compression algorithm is proposed in order to allocate an optimal bitrate to each sphere. Experimental results show that the proposed algorithm can effectively compress the original 3-D point geometry at various bitrates. ko
dc.description.statementofresponsibility close -
dc.language 영어 ko
dc.title Compression of 3-D point visual data using vector quantization and rate-distortion optimization ko
dc.type ARTICLE ko
dc.identifier.scopusid 2-s2.0-41549150445 ko
dc.identifier.wosid 000258767100001 ko
dc.type.rims ART ko
dc.description.wostc 2 *
dc.description.scopustc 4 * 2015-05-06 * 2014-10-28 *
dc.identifier.doi 10.1109/TMM.2008.917349 ko
dc.identifier.url ko
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