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Scalable Temporal Localization of Sensitive Activities in Movies and TV Episodes. (arXiv:2206.08429v1 [cs.CV])
June 20, 2022, 1:13 a.m. | Xiang Hao, Jingxiang Chen, Shixing Chen, Ahmed Saad, Raffay Hamid
cs.CV updates on arXiv.org arxiv.org
To help customers make better-informed viewing choices, video-streaming
services try to moderate their content and provide more visibility into which
portions of their movies and TV episodes contain age-appropriate material
(e.g., nudity, sex, violence, or drug-use). Supervised models to localize these
sensitive activities require large amounts of clip-level labeled data which is
hard to obtain, while weakly-supervised models to this end usually do not offer
competitive accuracy. To address this challenge, we propose a novel Coarse2Fine
network designed to make …
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