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Learned Scanpaths Aid Blind Panoramic Video Quality Assessment
April 2, 2024, 7:48 p.m. | Kanglong Fan, Wen Wen, Mu Li, Yifan Peng, Kede Ma
cs.CV updates on arXiv.org arxiv.org
Abstract: Panoramic videos have the advantage of providing an immersive and interactive viewing experience. Nevertheless, their spherical nature gives rise to various and uncertain user viewing behaviors, which poses significant challenges for panoramic video quality assessment (PVQA). In this work, we propose an end-to-end optimized, blind PVQA method with explicit modeling of user viewing patterns through visual scanpaths. Our method consists of two modules: a scanpath generator and a quality assessor. The scanpath generator is initially …
abstract arxiv assessment blind challenges cs.cv eess.iv experience immersive interactive nature quality type uncertain video video quality videos work
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