Paper Info
Title
Improved depth maps coding efficiency of 3D videos
Abstract
Immersive 3D video services demand the transmission of the viewpoints' depth map together with the texture multiview video to allow arbitrary reconstruction of intermediate viewpoints required for free-view navigation and 3D depth perception. The Multi-view Video Coding (MVC) standard is generally used to encode these auxiliary depth maps and since their estimation process is highly computational intensive, the coding time increases. This paper proposes a technique that exploits the multi-view geometry together with the depth map itself to calculate more accurate initial compensation vectors for the Macro-blocks' estimation. Starting from a more accurate position allows for a smaller search area, reducing the computations required during depth map MVC. Furthermore, the SKIP mode is extended to predict also the disparity vectors from the neighborhood encoded vectors, to omit some of them from transmission. Results demonstrate that these modifications provide an average computational reduction of up-to 87% with a bitrate saving of about 8.3% while encoding an inter-view predicted viewpoint from a depth map multi-view video.
Year
Venue
Keywords
2012
Signal Processing Conference
image reconstruction,image texture,video coding,3D depth perception,SKIP mode,arbitrary reconstruction,depth maps coding efficiency,free-view navigation,immersive 3D video service,intermediate viewpoint,macro-block estimation,multiview geometry,multiview video coding standard,neighborhood encoded vector,texture multiview video,Depth multi-view video coding,Multi-view Video Coding,Multi-view video plus depth,efficient SKIP mode
Field
DocType
ISSN
Computer vision,Video post-processing,Coding tree unit,Computer science,Motion compensation,Multiview Video Coding,Video tracking,Artificial intelligence,Depth map,Video compression picture types,Scalable Video Coding
Conference
2219-5491
ISBN
Citations 
PageRank 
978-1-4673-1068-0
0
0.34
References 
Authors
6
3
Name
Order
Citations
PageRank
Brian W. Micallef1213.28
Carl James Debono2246.74
Reuben A. Farrugia300.68