Video Summarization Generation Network Based on Dynamic Graph Contrastive Learning and Feature Fusion
Jing Zhang,
Guangli Wu,
Xinlong Bi
et al.
Abstract:Video summarization aims to analyze the structure and content of videos and extract key segments to construct summarization that can accurately summarize the main content, allowing users to quickly access the core information without browsing the full video. However, existing methods have difficulties in capturing long-term dependencies when dealing with long videos. On the other hand, there is a large amount of noise in graph structures, which may lead to the influence of redundant information and is not cond… Show more
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