Konuk, BarisZerman, EminAkar, Gozde BozdakiNur, Gokce2020-06-252020-06-252015closedAccess978-1-4673-7386-92165-0608https://hdl.handle.net/20.500.12587/624923nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEYNUR YILMAZ, Gokce/0000-0002-0015-9519; B. Akar, Gozde/0000-0002-4227-5606In this study, a novel, content aware audiovisual quality assessment (AVQA) method using a spatio-temporal characteristics based video classification method has been proposed and evaluated on AVQA database created by University of Plymouth. The proposed AVQA method is evaluated using subjective audio mean opinion score (MOS) and subjective video MOS. Results indicate that both classification method and the proposed content dependent AVQA method are quite satisfactorytrinfo:eu-repo/semantics/closedAccessQuality of experience (QoE)spatiotemporal informationno-reference metricvideo content analysisaudiovisual quality assessment (AVQA)Content Aware Audiovisual Quality AssessmentConference Object9669692-s2.0-84939198183N/AWOS:000380500900222N/A