Analysis of Video Quality Datasets via Design of Minimalistic Video Quality Models

Blind video quality assessment (BVQA) plays an indispensable role in monitoring and improving the end-users' viewing experience in various real-world video-enabled media applications. As an experimental field, the improvements of BVQA models have been measured primarily on a few human-rated VQA...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence 2024-11, Vol.46 (11), p.7056-7071
Hauptverfasser:	Sun, Wei, Wen, Wen, Min, Xiongkuo, Lan, Long, Zhai, Guangtao, Ma, Kede
Format:	Artikel
Sprache:	eng
Schlagworte:	Blind video quality assessment Computational modeling Crowdsourcing datasets deep neural networks Distortion Quality assessment Streaming media video processing Visualization
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