Key-frame extraction using dominant-set clustering

Key frames play an important role in video abstraction. Clustering is a popular approach for key-frame extraction. In this paper, we propose a novel method for key-frame extraction based on dominant-set clustering. Compared with the existing clustering-based methods, the proposed method dynamically decides the number of key frames depending on the complexity of video shots, produces key frames in a progressive manner and requires less computation. Experimental results on different types of video shots have verified the effectiveness of the method.

• Type: Conference
• Year: 2008
• Where: ICMCS
• Authors: Xianglin Zeng, Weiming Hu, Wanqing Li, Xiaoqin Zhang, Bo Xu
• Keywords: ICMCS 2008, Key Frames, Key-frame Extraction, Multimedia, Video Shots