Region of interest oriented fast mode decision for depth map coding in DIBR

Minghui Wang*, Chen Liu, Tianruo Zhang, Xin Jin, Satoshi Goto

*この研究の対応する著者

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

During the depth image based rendering (DIBR), depth map is a new type of video sequence to be compressed. The synthesized result of DIBR is highly related to the quality of the depth map. Depth map also has some new features than color maps. It occurs to us that some improvement is required. Higher efficiency and keeping the edge quality is two critical issues for depth compression. In this paper, region of interest (ROI) detection is introduced to meet these requirements. We adopt an ROI detection method which can distinguish the moving and relatively complexity part (foreground) from each frame. By using different mode decision strategy in ROI and non-ROI, computing burden is reduced and performance is kept. Experimental results show that the proposed strategy saves 40% computation of ME on average with an acceptable performance lost.

本文言語English
ホスト出版物のタイトルProceedings - 2011 IEEE 7th International Colloquium on Signal Processing and Its Applications, CSPA 2011
ページ177-180
ページ数4
DOI
出版ステータスPublished - 2011
イベント2011 IEEE 7th International Colloquium on Signal Processing and Its Applications, CSPA 2011 - Penang
継続期間: 2011 3 42011 3 6

Other

Other2011 IEEE 7th International Colloquium on Signal Processing and Its Applications, CSPA 2011
CityPenang
Period11/3/411/3/6

ASJC Scopus subject areas

  • 信号処理

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