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MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment
2019
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
This research strives for natural language moment retrieval in long, untrimmed video streams. The problem is not trivial especially when a video contains multiple moments of interests and the language describes complex temporal dependencies, which often happens in real scenarios. We identify two crucial challenges: semantic misalignment and structural misalignment. However, existing approaches treat different moments separately and do not explicitly model complex moment-wise temporal relations.
doi:10.1109/cvpr.2019.00134
dblp:conf/cvpr/ZhangDWWD19
fatcat:mbglkapzw5hr5aoxrz6msvll5m