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Urban, J.; Hilaire, X.; Hopfgartner, F.; Villa, R.; Jose, J.M.; Chantamunee, S.; Gotoh, Y. (2006)
Languages: English
Types: Other
Subjects: QA75, Z719
In the first part of this paper we describe our experiments in the automatic and interactive search tasks of TRECVID 2006. We submitted five fully automatic runs, including a text baseline, two runs based on visual features, and two runs that combine textual and visual features in a graph model. For the interactive search, we have implemented a new video search interface with relevance feedback facilities, based on both textual and visual features.\ud The second part is concerned with our approach to the high-level feature extraction task, based on textual information extracted from speech recogniser and machine translation outputs. They were aligned with shots and associated with high-level feature references. A list of significant words was created for each feature, and it was in turn utilised for identification of a feature during the evaluation.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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    • [2] R. Jesus, J. Magalha˜es, A. Yavlinski, and S. R u¨ger. Imperial College at TRECVID. In TRECVid 2005 - Text REtrieval Conference, TRECVID Workshop, Gaithersburg, Maryland, 14-15 November 2005, 2005.
    • [3] L. Lovasz. Random walks on graphs: A survey. Combinatorics, Paul Erdos is Eighty, 2:353-398, 1993.
    • [4] I. Ounis, G. Amati, V. Plachouras, B. He, C. Macdonald, and D. Johnson. Terrier Information Retrieval Platform. In Proceedings of the 27th European Conference on Information Retrieval (ECIR 05), Santiago de Compostela, Spain, 2005.
    • [5] C. G. M. Snoek, M. Worring, J. C. van Gemert, J. Geusebroek, and A. W. M. Smeulders. The challenge problem for automated detection of 101 semantic concepts in multimedia. In Proceedings of the ACM International Conference on Multimedia, Santa Barbara, USA, 2006.
    • [6] J. Urban and J. M. Jose. Adaptive image retrieval using a graph model for semantic feature integration. In Proc. of the 8th ACM SIGMM Int. Workshop on Multimedia Information Retrieval (MIR'06). ACM, 2006.
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