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Patch-VQ: 'Patching Up' the Video Quality Problem [article]

Zhenqiang Ying, Maniratnam Mandal, Deepti Ghadiyaram, Alan Bovik
2020
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]

Chang Liu, Han Yu
2021 arXiv   pre-print
., 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