Mirkovic Milan, Vrgovic Petar, Culibrk Dubravko, Stefanovic Darko, Anderla Andras
University of Novi Sad, Faculty of Technical Sciences, Trg Dositeja Obradovica 6, 21000 Novi Sad, Serbia.
ScientificWorldJournal. 2014 Jan 9;2014:625219. doi: 10.1155/2014/625219. eCollection 2014.
Video quality as perceived by human observers is the ground truth when Video Quality Assessment (VQA) is in question. It is dependent on many variables, one of them being the content of the video that is being evaluated. Despite the evidence that content has an impact on the quality score the sequence receives from human evaluators, currently available VQA databases mostly comprise of sequences which fail to take this into account. In this paper, we aim to identify and analyze differences between human cognitive, affective, and conative responses to a set of videos commonly used for VQA and a set of videos specifically chosen to include video content which might affect the judgment of evaluators when perceived video quality is in question. Our findings indicate that considerable differences exist between the two sets on selected factors, which leads us to conclude that videos starring a different type of content than the currently employed ones might be more appropriate for VQA.
当涉及视频质量评估(VQA)时,人类观察者所感知的视频质量就是基本事实。它取决于许多变量,其中之一就是正在评估的视频内容。尽管有证据表明内容会对视频序列从人类评估者那里获得的质量得分产生影响,但目前可用的VQA数据库大多由未考虑这一点的序列组成。在本文中,我们旨在识别和分析人类对一组常用于VQA的视频以及一组专门挑选的视频(这些视频包含在感知视频质量成问题时可能影响评估者判断的视频内容)的认知、情感和意动反应之间的差异。我们的研究结果表明,两组在选定因素上存在相当大的差异,这使我们得出结论,与目前使用的视频内容类型不同的视频可能更适合用于VQA。