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.
Palma, E., Battisti, F., Carli, M., Astola, P., Tabus, I. (2021). Subjective quality evaluation of light field data under coding distortions. In European Signal Processing Conference (pp.526-530). 345 E 47TH ST, NEW YORK, NY 10017 USA : European Signal Processing Conference, EUSIPCO [10.23919/Eusipco47968.2020.9287564].
Subjective quality evaluation of light field data under coding distortions
Carli M.;
2021-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.