Texture video-assisted motion vector predictor for depth map coding

XiaoXian Liu; Yilin Chang; Zhibin Li; Junyan Huo

doi:10.1117/1.3615644

1 August 2011 Texture video-assisted motion vector predictor for depth map coding

XiaoXian Liu, Yilin Chang, Zhibin Li, Junyan Huo

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Optical Engineering, Vol. 50, Issue 8, 080504 (August 2011). https://doi.org/10.1117/1.3615644

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.

©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)

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XiaoXian Liu, Yilin Chang, Zhibin Li, and Junyan Huo "Texture video-assisted motion vector predictor for depth map coding," Optical Engineering 50(8), 080504 (1 August 2011). https://doi.org/10.1117/1.3615644

Published: 1 August 2011

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