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.
Zeng, X., Hu, W., Li, W., Zhang, X. & Xu, B. (2008). Key-frame extraction using dominant-set clustering. IEEE International Conference on Multimedia and Expo (pp. 1285-1288). Hannover, Germany: IEEE.