Motion estimation for depth maps coding based on rendered view distortion

Incolour plus depth map 3D video, depth map is a luminance image that aids the virtual views generation. Since it is not the final image viewed by end user, the conventional depth map compression method, which minimizes the pixel errors of the depth map, introduces more distortions to the virtual re...

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Bibliographic Details
Published in2014 International Conference on Audio, Language and Image Processing pp. 676 - 680
Main Authors Zhiru Shi, Yunyu Shi, Xiaoyun Zhang, Zhiyong Gao
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2014
Subjects
3D Video Coding
Bit rate
Depth Map Coding
DIBR
Encoding
Image coding
Mathematical model
Motion estimation
Rendered View Distortion
Three-dimensional displays
Video coding
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Summary:Incolour plus depth map 3D video, depth map is a luminance image that aids the virtual views generation. Since it is not the final image viewed by end user, the conventional depth map compression method, which minimizes the pixel errors of the depth map, introduces more distortions to the virtual rendered images. In this paper, a novel motion estimation scheme for depth map coding is proposed. By employing rendered view distortion in Rate-Distortion Optimization, the optimal Motion Vector is determined to improve the rendered views quality. An effective Lagrange multiplier is also derived. Experimental results illustrate that 34%-63% of bit can be saved comparing to the conventional motion estimation method.
ISBN:9781479939022
1479939021
DOI:10.1109/ICALIP.2014.7009880