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Efficient Fine-Granular Scalable Coding of 3D Mesh Sequences

Authors
Ahn, Jae-KyunKoh, Yeong JunKim, Chang-Su
Issue Date
4월-2013
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
3D mesh coding; entropy coding; fine-granular scalability; mesh sequence compression; predictive coding; spatial layer decomposition.
Citation
IEEE TRANSACTIONS ON MULTIMEDIA, v.15, no.3, pp.485 - 497
Indexed
SCIE
SCOPUS
Journal Title
IEEE TRANSACTIONS ON MULTIMEDIA
Volume
15
Number
3
Start Page
485
End Page
497
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/103565
DOI
10.1109/TMM.2012.2235417
ISSN
1520-9210
Abstract
An efficient fine-granular scalable coding algorithm of 3-D mesh sequences for low-latency streaming applications is proposed in this work. First, we decompose a mesh sequence into spatial and temporal layers to support scalable decoding. To support the finest-granular spatial scalability, we decimate only a single vertex at each layer to obtain the next layer. Then, we predict the coordinates of decimated vertices spatially and temporally based on a hierarchical prediction structure. Last, we quantize and transmit the spatio-temporal prediction residuals using an arithmetic coder. We propose an efficient context model for the arithmetic coding. Experiment results show that the proposed algorithm provides significantly better compression performance than the conventional algorithms, while supporting finer-granular spatial scalability.
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