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
Link To Document :
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