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video-highlight-detection

topic1 events
papersTODAY 04:00 UTC

Sliced Gromov-Wasserstein Information Bottleneck for Video Highlight Detection

A new arXiv preprint introduces SGWIB, a method that pairs sliced Gromov-Wasserstein optimal transport with an information bottleneck to select the most informative moments in a video. The authors argue that accurate highlight prediction needs both discriminative segment features and compression of irrelevant content. The approach is positioned as a way to identify temporally important, engaging segments for automatic video highlight detection.

video-understanding/optimal-transport/information-bottleneck/research