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Patch-VQ: 'Patching Up' the Video Quality Problem
[article]
2020
Preserved Fulltext
To advance progress on this problem, we created the largest (by far) subjective video quality dataset, containing 39, 000 realworld distorted videos and 117, 000 space-time localized video patches ('v-patches ...
No-reference (NR) perceptual video quality assessment (VQA) is a complex, unsolved, and important problem to social and streaming media applications. ...
., using plugins to speed up the video). ...
doi:10.48550/arxiv.2011.13544
fatcat:juufhzk6n5ebdj5lrppbzc4nyq
AI-Empowered Persuasive Video Generation: A Survey
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
., e-commerce), the field of artificial intelligence (AI)-empowered persuasive video generation (AIPVG) has gained traction in recent years. ...
promotion; 2) visual storyline generation, which shortlists and arranges high-quality VMs into a sequence in order to compose a storyline with persuasive power; and 3) post-production, which involves background ...
Patch-VQ:’Patching Up’the Video
Quality Problem. In CVPR. 14019–14029.
[164] Zhenqiang Ying, Haoran Niu, Praful Gupta, Dhruv Mahajan, Deepti Ghadiyaram, and Alan Bovik. 2020. ...
arXiv:2112.09401v1
fatcat:t5bsqo6shbcoleryphaawewevy