000255239 001__ 255239
000255239 005__ 20190812210021.0
000255239 0247_ $$2doi$$a10.1109/ICMEW.2018.8551496
000255239 037__ $$aCONF
000255239 245__ $$aQuality assessment of compression solutions for ICIP 2017 Grand Challenge on light field image coding
000255239 260__ $$c2018
000255239 269__ $$a2018
000255239 300__ $$a6
000255239 336__ $$aConference Papers
000255239 520__ $$aIn recent years, the research community has witnessed a growing interest in immersive representations of the real world, such as light field. However, due to the increased volume of data generated in the acquisition, new and efficient compression algorithms are needed to store and deliver light field contents. A Grand Challenge on light field image coding was organised during ICIP 2017 to collect and evaluate new compression algorithms for lenslet-based light field images. This paper reports the results of the objective and subjective evaluation campaign conducted to assess the responses to the grand challenge. An adjectival categorical rating methodology with 7-point grading scale was selected to perform subjective assessments, whereas the objective assessment was conducted using popular image quality metrics. Results show that two proposals have comparable performance and outperform the others across all bitrates.
000255239 6531_ $$alight field
000255239 6531_ $$aimage compression
000255239 6531_ $$aimage coding
000255239 6531_ $$aobjective quality evaluation
000255239 6531_ $$asubjective quality evaluation
000255239 700__ $$g249303$$aViola, Irene$$0249547
000255239 700__ $$0240223$$aEbrahimi, Touradj$$g105043
000255239 7112_ $$dJuly 23-27, 2018$$cSan Diego, California, USA$$a2018 International Conference on Multimedia and Expo Workshops
000255239 8560_ $$firene.viola@epfl.ch
000255239 8564_ $$zFinal$$uhttps://infoscience.epfl.ch/record/255239/files/W119_paper.pdf$$s4271275
000255239 8564_ $$zFinal$$xpdfa$$uhttps://infoscience.epfl.ch/record/255239/files/W119_paper.pdf?subformat=pdfa$$s5481397
000255239 909C0 $$xUS02700$$pMMSPL$$mtouradj.ebrahimi@epfl.ch$$0252077$$xU11889
000255239 909CO $$qGLOBAL_SET$$pconf$$pSTI$$ooai:infoscience.epfl.ch:255239
000255239 960__ $$airene.viola@epfl.ch
000255239 961__ $$amanon.velasco@epfl.ch
000255239 973__ $$aEPFL$$rREVIEWED
000255239 980__ $$aCONF
000255239 981__ $$aoverwrite