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Conference Paper Video Coding Tool Performance for Multi-View Texture map
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Authors
Jihoon Do, Soowoong Kim, Hahyun Lee, Jinho Lee, Seong-Jun Bae, Gun Bang, Jung Won Kang
Issue Date
2022-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.793-795
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC55196.2022.9952922
Abstract
In this paper, we present an analysis of the compression performance of Truncated Signed Distance Field (TSDF) [1] volume-based mesh property (texture map) for multi-view images with various tools off test in VVC [2], which have recently been standardized. We compare the tool performance for JVET sequences and analyzes how the properties of texture maps differ from normal video. In addition, we plan to perform VVC optimization for texture maps based on these experiments.
KSP Keywords
Compression performance, Texture map, Tool performance, Volume-based, multi-view images, signed distance field, video coding