Title :
Visual video summaries post-processing using supervised and unsupervised classification
Author :
Ciocca, G. ; Schettini, R.
Author_Institution :
Dipartimento di Inf., Sistemistica e Comunicazione, Universita degli Studi di Milano, Milan, Italy
Abstract :
Visual summaries allow users to grasp the overall content of a video, and access specific sequences within the video itself. The post-processing method presented in this paper makes it possible create exhaustive and not redundant visual video summaries. Three steps compose the method: the first removes the meaningless key frames; the second groups the key frames into clusters to allow multi-level summary presentation; and the third identifies the default summary level.
Keywords :
feature extraction; image classification; image sequences; video signal processing; default summary level identification; meaningless key frame removal; multilevel summary presentation; unsupervised classification; video content; visual video summaries post-processing method; Clustering algorithms; Conferences; Costs; Histograms; Image analysis; Indexing; Merging; Performance analysis; Probability; Statistics;
Conference_Titel :
Consumer Electronics, 2006. ICCE '06. 2006 Digest of Technical Papers. International Conference on
Print_ISBN :
0-7803-9459-3
DOI :
10.1109/ICCE.2006.1598320