000221601 001__ 221601
000221601 005__ 20190317000538.0
000221601 020__ $$a978-1-5090-5966-9
000221601 0247_ $$2doi$$a10.1109/PCS.2016.7906379
000221601 037__ $$aCONF
000221601 245__ $$aObjective and subjective evaluation of light field image compression algorithms
000221601 269__ $$a2016
000221601 260__ $$c2016
000221601 336__ $$aConference Papers
000221601 520__ $$aThis paper reports results of subjective and objective quality assessments of responses to a grand challenge on light field image compression. The goal of the challenge was to collect and evaluate new compression algorithms for light field images. In total seven proposals were received, out of which five were accepted for further evaluations. For objective evaluations, conventional metrics were used, whereas the double stimulus continuous quality scale method was selected to perform subjective assessments. Results show competitive performance among submitted proposals. However, in low bitrates, one proposal outperforms the others.
000221601 6531_ $$alight field
000221601 6531_ $$asubjective evaluation
000221601 6531_ $$aobjective evaluation
000221601 6531_ $$aimage coding
000221601 6531_ $$aimage compression
000221601 700__ $$0249547$$g249303$$aViola, Irene
000221601 700__ $$0244457$$g206402$$aRerabek, Martin
000221601 700__ $$aBruylants, Tim
000221601 700__ $$aSchelkens, Peter
000221601 700__ $$aPereira, Fernando
000221601 700__ $$aEbrahimi, Touradj$$g105043$$0240223
000221601 7112_ $$dDecember 4-7, 2016$$cNuremberg, Germany$$a32nd Picture Coding Symposium
000221601 8564_ $$uhttps://infoscience.epfl.ch/record/221601/files/Camera-ready_version_Objective_and_subjective_evaluation_of_light_field.pdf$$zPublisher's version$$s7509192$$yPublisher's version
000221601 909C0 $$0252077$$pMMSPL
000221601 909CO $$pSTI$$ooai:infoscience.tind.io:221601$$qGLOBAL_SET$$pconf
000221601 917Z8 $$x249303
000221601 917Z8 $$x249303
000221601 917Z8 $$x249303
000221601 937__ $$aEPFL-CONF-221601
000221601 973__ $$rREVIEWED$$sACCEPTED$$aEPFL
000221601 980__ $$aCONF