Robust scene boundary detection based on audiovisual information

Authors:
Soon-tak Lee;Joon-sik Baek;Joong-hwan Baek
Affiliations:
Multimedia Retrieval Lab. in School of Electronics and Communication Engineering, Hankuk Aviation University;Multimedia Retrieval Lab. in School of Electronics and Communication Engineering, Hankuk Aviation University;School of Electronics and Communication Engineering, Hankuk Aviation University
Venue:
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Year:
2005

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Abstract

In this paper, an efficient and robust scene change detection algorithm is proposed by using low-level audiovisual features and several classification methods. The proposed algorithm consists of three stages. The first stage is shot boundary detection by using Support Vector Machine (SVM) and the second stage is the scene boundary detection using shot clustering based on visual information. In the last stage, the scene boundary correction with audio information is described.