Cluster-based Video Summarization with Temporal Context Awareness

arXiv:2404.04511v1 Announce Type: new
Abstract: In this paper, we present TAC-SUM, a novel and efficient training-free approach for video summarization that addresses the limitations of existing cluster-based models by incorporating temporal context. Our method partitions the input video into temporally consecutive segments with clustering information, enabling the injection of temporal awareness into the clustering process, setting it apart from prior cluster-based summarization methods. The resulting temporal-aware clusters are then utilized to compute the final summary, using simple rules for keyframe …

arxiv cluster context cs.ai cs.cv summarization temporal type video