A novel depth-image based view synthesis scheme for multiview and 3DTV

Xun He, Xin Jin, Minghui Wang, Satoshi Goto*

*この研究の対応する著者

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Depth-Image Based View Synthesis (DIVS) is considered as a good method to reduce the view numbers for multiview and 3DTV. However, it can't guarantee the quality of occlusion areas of the produced views. In order to reduce the view numbers for multiview and 3DTV, a novel depth-image based view synthesis scheme is proposed to produce four views by one view with depth. Artifact detection and repair functions are added to resolve occlusion areas problem. Artifact region is detected by comparing with original view, and repair function utilizes motion compensation technique to fix it from its previous virtual view. This repair function can correctly fix the artifact region at the cost of some additional bits for each virtual view. In our experiments, only one view is applied to produce four virtual views. About 4∼6 dB gain can be achieved at the costs of some additional bit stream. The total bit rate of the four views is only 56% of one color image at the same QP.

本文言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ページ161-170
ページ数10
6523 LNCS
PART 1
DOI
出版ステータスPublished - 2011
イベント17th Multimedia Modeling Conference, MMM 2011 - Taipei
継続期間: 2011 1 52011 1 7

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 1
6523 LNCS
ISSN(印刷版)03029743
ISSN(電子版)16113349

Other

Other17th Multimedia Modeling Conference, MMM 2011
CityTaipei
Period11/1/511/1/7

ASJC Scopus subject areas

  • コンピュータ サイエンス(全般)
  • 理論的コンピュータサイエンス

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