TIIS (한국인터넷정보학회)
Current Result Document : 12 / 13
| 한글제목(Korean Title) |
Auto-Covariance Analysis for Depth Map Coding |
| 영문제목(English Title) |
Auto-Covariance Analysis for Depth Map Coding |
| 저자(Author) |
Lei Liu
Yao Zhao
Chunyu Lin
Huihui Bai
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| 원문수록처(Citation) |
VOL 08 NO. 09 PP. 3146 ~ 3158 (2014. 09) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
Efficient depth map coding is very crucial to the multi-view plus depth (MVD) format of 3-D video representation, as the quality of the synthesized virtual views highly depends on the accuracy of the depth map. Depth map contains smooth area within an object but distinct boundary, and these boundary areas affect the visual quality of synthesized views significantly. In this paper, we characterize the depth map by an auto-covariance analysis to show the locally anisotropic features of depth map. According to the characterization analysis, we propose an efficient depth map coding scheme, in which the directional discrete cosine transforms (DDCT) is adopted to substitute the conventional 2-D DCT to preserve the boundary information and thereby increase the quality of synthesized view. Experimental results show that the proposed scheme achieves better performance than that of conventional DCT with respect to the bitrate savings and rendering quality. |
| 키워드(Keyword) |
Multi-view plus depth (MVD)
depth coding
auto-covariance model
directional discrete cosine transform (DDCT)
3-D video
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| 파일첨부 |
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