ICIP 2006, Atlanta, GA

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Paper Detail

Session:Content Summarization and Clustering
Time:Monday, October 9, 10:00 - 10:20
Presentation: Lecture
Topic: Image & Video Storage and Retrieval: Content summarization and editing
Authors: Sergio Benini; University of Brescia 
 Aldo Bianchetti; University of Brescia 
 Riccardo Leonardi; University of Brescia 
 Pierangelo Migliorati; University of Brescia 
Abstract: In the current video analysis scenario, effective clustering of shots facilitates the access to the content and helps in understanding the associated semantics. This paper introduces a cluster analysis on shots which employs dendrogram representation to produce hierarchical summaries of the video document. Vector quantization codebooks are used to represent the visual content and to group the shots with similar chromatic consistency. The evaluation of the cluster codebook distortions, and the exploitation of the dependency relationships on the dendrograms, allow to obtain only a few significant summaries of the whole video. Finally the user can navigate through summaries and decide which one best suites his/her needs for eventual post-processing. The effectiveness of the proposed method is demonstrated by testing it on a collection of video-data from different kinds of programmes. Results are evaluated in term of metrics that measure the content representational value of the summarization technique.