DocumentCode :
247689
Title :
Full parallax super multi-view video coding
Author :
Dricot, A. ; Jung, J. ; Cagnazzo, M. ; Pesquet, B. ; Dufaux, Frederic
Author_Institution :
Orange Labs., Issy-les-Moulineaux, France
fYear :
2014
fDate :
27-30 Oct. 2014
Firstpage :
135
Lastpage :
139
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.
Keywords :
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; Encoding; Software; Spirals; Standards; Three-dimensional displays; Vectors; Video coding; 3D Video compression; Full Motion Parallax; Multi-view;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
Type :
conf
DOI :
10.1109/ICIP.2014.7025026
Filename :
7025026
Link To Document :
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