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

Ren, J, Jiang, J and Eckes, C (2008) Hierarchical modeling and adaptive clustering for real-time summarization of rush videos in trecvid'08 In: MM '08 ACM Multimedia Conference 2008, 2008-10-26 - 2008-10-31, Vancouver, Canada.

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Abstract

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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
NameEmailORCID
Ren, JUNSPECIFIEDUNSPECIFIED
Jiang, Jjianmin.jiang@surrey.ac.ukUNSPECIFIED
Eckes, CUNSPECIFIEDUNSPECIFIED
Date : 2008
Identification Number : https://doi.org/10.1145/1463563.1463566
Contributors :
ContributionNameEmailORCID
publisherACM, UNSPECIFIEDUNSPECIFIED
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 12:25
Last Modified : 17 May 2017 15:03
URI: http://epubs.surrey.ac.uk/id/eprint/835271

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