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Graph-based centrality framework for effective multi-video summarization
DOI:10.1016/j.ipm.2025.104276.png)
Abstract
En 中文
• Unsupervised graph-based method for multi-video summarization. • I3D features extract spatial-temporal cues from video scenes. • Proposes WDC, V-Rank, and VL-Rank for redundancy-aware ranking. • Four-stage process: segmentation, graph, rank, and select. • Achieves top F1 scores on the Tour20 benchmark dataset.
Journal
I
IF:
6.9
Papers:
5.2K
Citations:
1.4W
Organization
No organization information available
Cited Papers
Unsupervised video summarization using deep Non-Local video summarization networks
NEUROCOMPUTING
IF6.5

