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Video Moment Retrieval from Text Queries via Single Frame Annotation. (arXiv:2204.09409v2 [cs.CV] UPDATED)
April 27, 2022, 1:10 a.m. | Ran Cui, Tianwen Qian, Pai Peng, Elena Daskalaki, Jingjing Chen, De Wei, Huyang Sun, Yu-Gang Jiang
cs.CV updates on arXiv.org arxiv.org
Video moment retrieval aims at finding the start and end timestamps of a
moment (part of a video) described by a given natural language query. Fully
supervised methods need complete temporal boundary annotations to achieve
promising results, which is costly since the annotator needs to watch the whole
moment. Weakly supervised methods only rely on the paired video and query, but
the performance is relatively poor. In this paper, we look closer into the
annotation process and propose a new …
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