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Hierarchical modeling and adaptive clustering for real-time summarization of rush videos in trecvid'08

: Ren, J.; Jiang, J.; Eckes, C.


El Saddik, A. ; Association for Computing Machinery -ACM-, Special Interest Group on Multimedia -SIGMM-:
16th ACM International Conference on Multimedia 2008. CD-ROM. Proceedings : Vancouver, British Columbia, Canada, October 26-31, 2008
New York: ACM, 2008
ISBN: 978-1-60558-303-7
ISBN: 978-1-605-58319-8
ISBN: 978-1-605-58320-4
ISBN: 978-1-605-58312-9
ISBN: 978-1-605-58316-7
ISBN: 978-1-605-58314-3
ISBN: 978-1-605-58315-0
ISBN: 978-1-605-58309-9
ISBN: 978-1-605-58313-6
International Conference on Multimedia (MM) <16, 2008, Vancouver>
Fraunhofer IAIS ()

In this paper, our techniques used in TRECVID'08 on BBC rush summarization are described. Firstly, rush videos are hierarchical modeled using formal language description. Then, shot detection and V-unit determination are applied for video structuring; junk frames within the model are also effectively removed. Thirdly, adaptive clustering is employed to group shots into clusters to remove retakes. Then, each selected shot is ranked according to its length and sum of activity level for summarization. Competitive results have proved the effectiveness and efficiency of our techniques fully implemented in compressed-domain.