Paper Info
Title
Flexible depth map spatial resolution in depth-enhanced multiview video coding
Abstract
Multiview video plus depth (MVD) has proved to be a promising format enabling various 3D applications. One approach to achieve better MVD compression is to adjust the spatial resolution of depth map based on the content and the application. In this research two schemes are considered: first, multiview video coding accompanied by depth maps to improve the texture coding performance. Second, multiview video plus depth (MVD) coding targeting highest quality for synthesized views. Two algorithms to select the best spatial resolution for each scheme are proposed and the results show 10.8% and 16.5% bitrate reduction compared to the anchor case where depth map resolution is fixed.
Year
DOI
Venue
2014
10.1109/ICASSP.2014.6853722
Acoustics, Speech and Signal Processing
Keywords
Field
DocType
data compression,image enhancement,image resolution,image texture,video coding,3D application,MVD coding,MVD compression,depth-enhanced multiview video coding,flexible depth map spatial resolution,multiview video plus depth compression,texture coding performance,3DV,MVD,depth map,spatial resolution,synthesized views
Computer vision,Texture coding,Multiview video plus depth,Pattern recognition,Computer science,Multiview Video Coding,Coding (social sciences),Artificial intelligence,Depth map,Image resolution
Conference
ISSN
Citations 
PageRank 
1520-6149
4
0.61
References 
Authors
7
3
Name
Order
Citations
PageRank
Payman Aflaki112710.64
M. M. Hannuksela237680.61
Moncef Gabbouj33282386.30