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Spatial relationships in visual graph modeling for image categorization

Published: 19 July 2010 Publication History

Abstract

In this paper, a language model adapted to graph-based representation of image content is proposed and assessed. The full indexing and retrieval processes are evaluated on two different image corpora. We show that using the spatial relationships with graph model has a positive impact on the results of standard Language Model (LM) and outperforms the baseline built upon the current state-of-the-art Support Vector Machine (SVM) classification method.

References

[1]
L. Maisonnasse, E. Gaussier, and J. Chevalet. Model fusion in conceptual language modeling. In ECIR09, pages 240--251, 2009.
[2]
J. M. Ponte and W. B. Croft. A language modeling approach to information retrieval. In SIGIR98, 1998.
[3]
P. Tirilly, V. Claveau, and P. Gros. Language modeling for bag-of-visual words image categorization. In CIVR08, pages 249--258, 2008.

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  • (2012)Visual graph modeling for scene recognition and mobile robot localizationMultimedia Tools and Applications10.1007/s11042-010-0598-860:2(419-441)Online publication date: 1-Sep-2012

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  1. Spatial relationships in visual graph modeling for image categorization

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    cover image ACM Conferences
    SIGIR '10: Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
    July 2010
    944 pages
    ISBN:9781450301534
    DOI:10.1145/1835449
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 19 July 2010

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    Author Tags

    1. graph theory
    2. image categorization
    3. language model

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    SIGIR '10 Paper Acceptance Rate 87 of 520 submissions, 17%;
    Overall Acceptance Rate 792 of 3,983 submissions, 20%

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    • (2012)Visual graph modeling for scene recognition and mobile robot localizationMultimedia Tools and Applications10.1007/s11042-010-0598-860:2(419-441)Online publication date: 1-Sep-2012

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