Automatic video knowledge mining for summary generation based on un-supervised statistical learning

Authors:
Jian Ling;Yiqun Lian;Yueting Zhuang
Affiliations:
Institute of Artificial Intelligence, Zhejiang University, Hangzhou, P.R. China;Dept. of Electronic Information, Zhejiang Institute of Media and Communication, Hangzhou, P.R. China;Institute of Artificial Intelligence, Zhejiang University, Hangzhou, P.R. China
Venue:
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Year:
2005

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Abstract

The summary of video content provides an effective way to speed up video browsing and comprehension. In this paper, we propose a novel automatic video summarization approach. Video structure is first analyzed by combining spatial-temporal analysis and statistical learning. Video scenes are then detected based on unsupervised statistical learning. The video summary is created by selecting the most informative shots from the video scenes that are modeled as a directed graph. Experiments show that the proposed approach can generate the most concise and informative video summary.