DocumentCode :
1765253
Title :
High Efficiency 3D Video Coding Using New Tools Based on View Synthesis
Author :
Domanski, Marek ; Stankiewicz, Olgierd ; Wegner, Krzysztof ; Kurc, Maciej ; Konieczny, Jacek ; Siast, Jakub ; Stankowski, Jakub ; Ratajczak, Robert ; Grajek, Tomasz
Author_Institution :
Dept. of Multimedia Telecommun. & Microelectron., Poznan Univ. of Technol., Poznań, Poland
Volume :
22
Issue :
9
fYear :
2013
fDate :
Sept. 2013
Firstpage :
3517
Lastpage :
3527
Abstract :
We propose a new coding technology for 3D video represented by multiple views and the respective depth maps. The proposed technology is demonstrated as an extension of the recently developed high efficiency video coding (HEVC). One base views are compressed into a standard bitstream (like in HEVC). The remaining views and the depth maps are compressed using new coding tools that mostly rely on view synthesis. In the decoder, those views and the depth maps are derived via synthesis in the 3D space from the decoded baseview and from data corresponding to small disoccluded regions. The shapes and locations of those disoccluded regions can be derived by the decoder without any side information transmitted. To achieve high compression efficiency, we propose several new tools such as depth-based motion prediction, joint high frequency layer coding, consistent depth representation, and nonlinear depth representation. The experiments show high compression efficiency of the proposed technology. The bitrate needed for transmission of two side views with depth maps is mostly less than 50% than that of the bitrate for a single-view video.
Keywords :
data compression; image representation; video codecs; video coding; HEVC; MVD representation; coding tools; compression efficiency; depth based motion prediction; depth maps; disoccluded region coding; high efficiency 3D video coding; joint high frequency layer coding; nonlinear depth representation; view synthesis; 3D video; HEVC; MVD representation; coding; compression; depth maps;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2013.2266580
Filename :
6530664
Link To Document :
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