RIS ID
25637
Abstract
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.
Publication Details
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.