DocumentCode
147116
Title
Improved Motion Vector Compression Using 3D-Warping
Author
Sangappa, Hemanth Kumar ; Ramakrishnan, K.R.
Author_Institution
Dept. of Electr. Eng., Indian Inst. of Sci., Bangalore, India
fYear
2014
fDate
26-28 March 2014
Firstpage
424
Lastpage
424
Abstract
In recent years Auto stereoscopic display systems are being developed to give viewers a realistic 3D perception. Towards this end Multiview Plus Depth format is becoming increasingly popular. Using Depth Image Based Rendering algorithms additional views can be synthesized by the display device. In the past enhancement of Multiview Video Coding using depth image based 3D-warping has been explored, primarily to improve disparity estimation. Generally it is assumed that the camera array is static but this assumption is not valid for a realistic application. In this paper we propose a method to generate 3D-warped reference frames for temporally displaced frames. Temporal motion compensation is enhanced by tracking the camera motion. Our experiments show significant improvements in coding efficiency of motion vectors at similar PSNR values.
Keywords
data compression; image sensors; motion estimation; rendering (computer graphics); stereo image processing; video coding; 3D warping; PSNR values; auto stereoscopic display systems; camera motion; coding efficiency; depth format; depth image based rendering algorithms; display device; improved motion vector compression; motion vectors; multiview video coding; realistic 3D perception; temporal motion compensation; temporally displaced frames; Arrays; Cameras; Data compression; Electrical engineering; Image coding; Three-dimensional displays; Vectors; 3D-Warping; Coding; Depth Image; Motion Estimation; Multiview Video; RANSAC; SIFT;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference (DCC), 2014
Conference_Location
Snowbird, UT
ISSN
1068-0314
Type
conf
DOI
10.1109/DCC.2014.34
Filename
6824476
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