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Optical Engineering • Open Access

Texture video-assisted motion vector predictor for depth map coding
Author(s): XiaoXian Liu; Yilin Chang; Zhibin Li; Junyan Huo

Paper Abstract

A texture video-assisted motion vector predictor for depth map coding is proposed in this letter. Based on the analyses of motion similarity between texture videos and their corresponding depth maps, the proposed approach uses the motion vectors of texture videos and the median predictor jointly to determine the optimal predicted motion vector for depth map coding by employing a rate-distortion (R-D) criterion. Experimental results demonstrate that compared with the median predictor utilized in H.264/AVC, the proposed method can save the maximum and average bit rate as high as 4.89% and 3.68%, respectively, while guaranteeing the quality of synthesized virtual views.

Paper Details

Date Published: 1 August 2011
PDF: 4 pages
Opt. Eng. 50(8) 080504 doi: 10.1117/1.3615644
Published in: Optical Engineering Volume 50, Issue 8
Show Author Affiliations
XiaoXian Liu, Xidian Univ. (China)
Yilin Chang, Xidian Univ. (China)
Zhibin Li, Xidian Univ. (China)
Junyan Huo, Xidian Univ. (China)


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