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
The title of a journal, publication series: Proceedings of IEEE Multimedia and Expo 2002, ICME 2002
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 1989-2017)
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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