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The lIGVID system for video retrieval and concept annotation

Published: 29 March 2010 Publication History

Abstract

The LIGVID system is designed for online interactive video shots retrieval and annotation. It uses a user-controlled combination of multiple criteria: keywords, phonetic string, similarity to example images, semantic categories, and relevance feedback strategies: visual and temporal similarity to already identified positive images. In addition to Relevance Feedback processes, the system runs in background an active learning algorithm to better model the user's information need. Previous participation to video retrieval challenges has permit to show the effectiveness of our system.

References

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http://hlt.i2r.a-star.edu.sg/starchallenge.
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Ayache, S., and Quénot, G. Image and video indexing using networks of operators. J. Image Video Process. 2007, 4 (2007), 1--13.
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Ayache, S., and Quénot, G. Video corpus annotation using active learning. In Proceedings of European Conference of Information Retrieval 2008 (2008).
[4]
Fellbaum, C., Ed. WordNet An Electronic Lexical Database. The MIT Press, Cambridge, MA; London, 1998.
[5]
Quénot, G., Tan, T. P., Bac, L. V., Ayache, S., Besacier, L., and Mulhem, P. Content-based search in multilingual audiovisual documents using the international phonetic alphabet. Multimedia Tools and Applications (2009).
[6]
Smeaton, A. F., Over, P., and Kraaij, W. Evaluation campaigns and TRECVid. In MIR'06: Proceedings of the 8th ACM International Workshop on Multimedia Information Retrieval (New York, NY, USA, 2006), ACM Press, pp. 321--330.
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Snoek, C. G. M., and Worring, M. Concept-based video retrieval. Foundations and Trends in Information Retrieval 4, 2 (2009), 215--322.
[8]
Snoek, C. G. M., Worring, M., de Rooij, O., van de Sande, K. E. A., Yan, R., and Hauptmann, A. G. VideOlympics: Real-time evaluation of multimedia retrieval systems. IEEE MultiMedia 15, 1 (January-March 2008), 86--91.

Cited By

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  • (2012)CoVidAProceedings of the 1st International Workshop on Visual Interfaces for Ground Truth Collection in Computer Vision Applications10.1145/2304496.2304506(1-6)Online publication date: 21-May-2012
  • (2012)Seamless Integration of Handwriting Recognition into Pen-Enabled Displays for Fast User InteractionProceedings of the 2012 10th IAPR International Workshop on Document Analysis Systems10.1109/DAS.2012.78(364-368)Online publication date: 27-Mar-2012

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  1. The lIGVID system for video retrieval and concept annotation

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    cover image ACM Conferences
    MIR '10: Proceedings of the international conference on Multimedia information retrieval
    March 2010
    600 pages
    ISBN:9781605588155
    DOI:10.1145/1743384
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 29 March 2010

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    Author Tags

    1. multi-criteria search
    2. video retrieval

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    MIR '10: International Conference on Multimedia Information Retrieval
    March 29 - 31, 2010
    Pennsylvania, Philadelphia, USA

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    View all
    • (2012)CoVidAProceedings of the 1st International Workshop on Visual Interfaces for Ground Truth Collection in Computer Vision Applications10.1145/2304496.2304506(1-6)Online publication date: 21-May-2012
    • (2012)Seamless Integration of Handwriting Recognition into Pen-Enabled Displays for Fast User InteractionProceedings of the 2012 10th IAPR International Workshop on Document Analysis Systems10.1109/DAS.2012.78(364-368)Online publication date: 27-Mar-2012

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