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Analysis of Video Quality Datasets via Design of Minimalistic Video Quality Models
April 4, 2024, 4:45 a.m. | Wei Sun, Wen Wen, Xiongkuo Min, Long Lan, Guangtao Zhai, Kede Ma
cs.CV updates on arXiv.org arxiv.org
Abstract: 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 datasets. Thus, it is crucial to gain a better understanding of existing VQA datasets in order to properly evaluate the current progress in BVQA. Towards this goal, we conduct a first-of-its-kind computational analysis of …
abstract analysis applications arxiv assessment blind cs.cv cs.mm datasets design eess.iv experience experimental human improvements improving media monitoring quality role the end type via video video quality vqa world
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