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

Minghui Wang; Chen Liu; Tianruo Zhang; Xin Jin; Satoshi Goto

doi:10.1109/CSPA.2011.5759868

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

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

^*Corresponding author for this work

Waseda University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings - 2011 IEEE 7th International Colloquium on Signal Processing and Its Applications, CSPA 2011
Pages	177-180
Number of pages	4
DOIs	https://doi.org/10.1109/CSPA.2011.5759868
Publication status	Published - 2011
Event	2011 IEEE 7th International Colloquium on Signal Processing and Its Applications, CSPA 2011 - Penang Duration: 2011 Mar 4 → 2011 Mar 6

Other

Other	2011 IEEE 7th International Colloquium on Signal Processing and Its Applications, CSPA 2011
City	Penang
Period	11/3/4 → 11/3/6

Keywords

Depth map
DIBR
Mode desicion
ROI

ASJC Scopus subject areas

Signal Processing

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10.1109/CSPA.2011.5759868

Cite this

Wang, M, Liu, C, Zhang, T, Jin, X & Goto, S 2011, Region of interest oriented fast mode decision for depth map coding in DIBR. in Proceedings - 2011 IEEE 7th International Colloquium on Signal Processing and Its Applications, CSPA 2011., 5759868, pp. 177-180, 2011 IEEE 7th International Colloquium on Signal Processing and Its Applications, CSPA 2011, Penang, 11/3/4. https://doi.org/10.1109/CSPA.2011.5759868

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title = "Region of interest oriented fast mode decision for depth map coding in DIBR",

abstract = "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.",

keywords = "Depth map, DIBR, Mode desicion, ROI",

author = "Minghui Wang and Chen Liu and Tianruo Zhang and Xin Jin and Satoshi Goto",

year = "2011",

doi = "10.1109/CSPA.2011.5759868",

language = "English",

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booktitle = "Proceedings - 2011 IEEE 7th International Colloquium on Signal Processing and Its Applications, CSPA 2011",

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AU - Wang, Minghui

AU - Liu, Chen

AU - Zhang, Tianruo

AU - Jin, Xin

AU - Goto, Satoshi

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - Depth map

KW - DIBR

KW - Mode desicion

KW - ROI

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BT - Proceedings - 2011 IEEE 7th International Colloquium on Signal Processing and Its Applications, CSPA 2011

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Y2 - 4 March 2011 through 6 March 2011

ER -

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

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Keywords

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