Paper Info
Title
Full parallax super multi-view video coding
Abstract
Super Multi-View (SMV) video is a key enabler for future 3D video services that allows a glasses-free visualization and eliminates many causes of discomfort existing in current available 3D video technologies. SMV video content is composed of tens or hundreds of views, that can be aligned in horizontal only or both horizontal and vertical directions, providing respectively horizontal parallax or full parallax. This paper compares several coding schemes and coding orders, and proposes a coding structure that exploits inter-view correlations in the two directions, providing BD-rate gains up to 29.1% when compared to a basic anchor structure. Additionally, Neighboring Block Disparity Vector (NBDV) and Inter-View Motion Prediction (IVMP) coding tools are further improved to efficiently exploit coding structures in two dimensions, with BD-rate gains up to 4.2% reported over the reference 3D-HEVC encoder.
Year
DOI
Venue
2014
10.1109/ICIP.2014.7025026
Image Processing
Keywords
Field
DocType
data visualisation,image motion analysis,video coding,3D video services,3D-HEVC encoder,BD-rate,IVMP coding tools,NBDV,SMV video content,anchor structure,coding orders,coding structure,full parallax super multiview video coding,glasses-free visualization,horizontal parallax,interview correlation,interview motion prediction,neighboring block disparity vector,3D Video compression,Full Motion Parallax,Multi-view
Computer vision,Horizontal and vertical,Parallax,Visualization,Computer science,Motion compensation,Multiview Video Coding,Exploit,Coding (social sciences),Encoder,Artificial intelligence
Conference
ISSN
Citations 
PageRank 
1522-4880
2
0.39
References 
Authors
6
4
Name
Order
Citations
PageRank
Dricot, A.120.39
Jung, J.2202.89
Marco Cagnazzo329434.45
Pesquet, B.420.39