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학술대회 Video Coding Tool Performance for Multi-View Texture map
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저자
도지훈, 김수웅, 이하현, 이진호, 배성준, 방건, 강정원
발행일
202210
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.793-795
DOI
https://dx.doi.org/10.1109/ICTC55196.2022.9952922
협약과제
22HH6100, [통합과제] 초실감 테라미디어를 위한 AV부호화 및 LF미디어 원천기술 개발, 최진수
초록
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 제안 키워드
Compression performance, Texture map, Tool performance, Video coding, Volume-based, multi-view images, signed distance field