Robust Clustering-Based Video-Summarization with Integration of Domain-Knowledge


Farin, Dirk ; Effelsberg, Wolfgang ; With, Peter H. N. de


Document Type: Conference or workshop publication
Year of publication: 2002
Book title: IEEE International Conference Multimedia and Expo, ICME 2002; proceedings
Volume: 1
Page range: 89-92
Date of the conference: Sept. 2002
Place of publication: Washington, DC
Publishing house: IEEE Press
ISBN: 978-0780373051
Publication language: English
Institution: School of Business Informatics and Mathematics > Praktische Informatik IV (Effelsberg -2017)
Subject: 004 Computer science, internet
Abstract: Clustering techniques have been widely used in automatic video-summarization applications to group shots with comparable content. We enhance the popular k-means clustering algorithm to integrate user-supplied domain-knowledge into the cluster generation step. This provides a convenient way to exclude scenes from the summary which are a-priori known to be irrelevant. Furthermore, we added an additional, time-constrained clustering step preceding the scene clustering step to exclude short ranges with transitional content. This makes the algorithm robust to fading and wipe-effects in the input without requiring explicit cut detection.

Dieser Eintrag ist Teil der Universitätsbibliographie.




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Farin, Dirk ; Effelsberg, Wolfgang ; With, Peter H. N. de Robust Clustering-Based Video-Summarization with Integration of Domain-Knowledge. 1 89-92 In: IEEE International Conference Multimedia and Expo, ICME 2002; proceedings (2002) Washington, DC [Conference or workshop publication]


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