Title
Subjective Quality Evaluation Of Light Field Data Under Coding Distortions
Abstract
This contribution presents the subjective evaluation of the compressed light field datasets obtained with four state-of-the-art codecs: two from the JPEG Pleno Light Field Verification Model and two recent methods for which codecs are publicly available. To the best of our knowledge, currently no subjective testing has been carried out to compare the performances of the four considered codecs. The evaluation methodology is based on Bradley-Terry scores, obtained from pairwise comparisons of the four codecs at four target bit-rates, for four light field datasets. The subset of pairs for which the comparisons are performed is selected according to the square design method, under two design variants, resulting in two datasets of subjective results. The analysis of the collected data, obtained by ranking the subjective scores of the codecs at various bitrates, shows high correlation with the available objective quality metrics.
Year
DOI
Venue
2020
10.23919/Eusipco47968.2020.9287564
28TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2020)
DocType
ISSN
Citations 
Conference
2076-1465
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Emanuele Palma100.34
Federica Battisti229325.35
Marco Carli325228.85
Pekka Astola4204.98
Ioan Tabus527638.23