Estimation of the hierarchical structure of a video sequence using MPEG-7 descriptors and GCS

Authors:
Masoumeh D. Saberi;Sergio Carrato;Irena Koprinska;James Clark
Affiliations:
DEEI, University of Trieste, Trieste, Italy;DEEI, University of Trieste, Trieste, Italy;School of Information Technologies, University of Sydney, Sydney, Australia;School of Information Technologies, University of Sydney, Sydney, Australia
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Year:
2005

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Abstract

We present a clustering approach for video summarization and browsing based on the Growing Cell Structures (GCS) neural algorithms and MPEG-7 video descriptors. Each I frame is represented as a feature vector of MPEG-7 descriptors. These vectors are clustered using GCS to select one or more keyframes for each shot. The extracted keyframes are then grouped together by TreeGCS to form a hierarchical view of the video for efficient browsing. We evaluate the effectiveness of different combinations of MPEG-7 descriptors and also compare them with the performance of color histograms.