Preprint
Aug 2026
Coverage-Driven Adaptive Keyframe Selection for Video Understanding
Recent advances in large vision-language models (LVLMs) have enabled long-video understanding and analysis. However, processing the large number of frames in a video incurs substantial computational overhead. Existing methods reduce LVLM inference costs by scoring frame-query relevance before inference and selecting ke...
Jun-Yang Zhang, Pu-Han Luo, Chenyu Tang et al.
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