Title
Subjective evaluation of Super Multi-View compressed contents on high-end light-field 3D displays
Abstract
Super Multi-View (SMV) video content is composed of tens or hundreds of views that provide a light-field representation of a scene. This representation allows a glass-free visualization and eliminates many causes of discomfort existing in current available 3D video technologies. Efficient video compression of SMV content is a key factor for enabling future 3D video services. This paper first compares several coding configurations for SMV content and several inter-view prediction structures are also tested and compared. The experiments mainly suggest that large differences in coding efficiency can be observed from one configuration to another. Several ratios for the number of coded and synthesized views are compared, both objectively and subjectively. It is reported that view synthesis significantly affects the coding scheme. The amount of views to skip highly depends on the sequence and on the quality of the associated depth maps. Reported ranges of bitrates required to obtain a good quality for the tested SMV content are realistic and coherent with future 4K/8K needs. The reliability of the PSNR metric for SMV content is also studied. Objective and subjective results show that PSNR is able to reflect increase or decrease in subjective quality even in the presence of synthesized views. However, depending on the ratio of coded and synthesized views, the order of magnitude of the effective quality variation is biased by PSNR. Results indicate that PSNR is less tolerant to view synthesis artifacts than human viewers. Finally, preliminary observations are initiated. First, the light-field conversion step does not seem to alter the objective results for compression. Secondly, the motion parallax does not seem to be impacted by specific compression artifacts. The perception of the motion parallax is only altered by variations of the typical compression artifacts along the viewing angle, in cases where the subjective image quality is already low. To the best of our knowledge, this paper is the first to carry out subjective experiments and to report results of SMV compression for light-field 3D displays. It provides first results showing that improvement of compression efficiency is required, as well as depth estimation and view synthesis algorithms improvement, but that the use of SMV appears realistic according to next generation compression technology requirements. HighlightsStudy of the impact of compression on subjective quality for lightfield SMV content.To the best of our knowledge, this paper is the first to report results of this kind.Several SMV coding configurations are compared both objectively and subjectively.Compression efficiency, depth estimation and view synthesis require improvements.SMV appears realistic according to next generation compression technology requirements.
Year
DOI
Venue
2015
10.1016/j.image.2015.04.012
Image Communication
Keywords
Field
DocType
light field,3d,video compression
Computer vision,Algorithmic efficiency,Parallax,Compression artifact,Computer science,Stereo display,Image quality,View synthesis,Coding (social sciences),Artificial intelligence,Data compression
Journal
Volume
Issue
ISSN
39
PB
0923-5965
Citations 
PageRank 
References 
11
0.84
7
Authors
7
Name
Order
Citations
PageRank
Antoine Dricot1151.26
Joël Jung2151.94
Marco Cagnazzo329434.45
Béatrice Pesquet4252.53
Frédéric Dufaux546257.88
Péter Tamás Kovács6276.25
Vamsi Kiran Adhikarla7172.99