Konuk, BarisZerman, EminNur, GokceAkar, Gozde Bozdagi2020-06-252020-06-252016closedAccess978-1-5090-0354-9https://hdl.handle.net/20.500.12587/66728th International Conference on Quality of Multimedia Experience (QoMEX) -- JUN 06-08, 2016 -- Lisbon, PORTUGALIn this study a novel, spatio-temporal characteristics based video content analysis method is presented. The proposed method has been evaluated on different video quality assessment databases, which include videos with different characteristics and distortion types. Test results obtained on different databases demonstrate the robustness and accuracy of the proposed content analysis method. Moreover, this analysis method is employed in order to examine the performance improvement in audiovisual quality assessment when the video content is taken into consideration.eninfo:eu-repo/semantics/closedAccessQuality of experience (QoE)video quality assessment (VQA)video content analysisaudiovisual quality assessment (AVQA)Conference Object2-s2.0-84979704117N/AWOS:000391251500046N/A