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Title of Journal: Multimed Tools Appl

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Abbravation: Multimedia Tools and Applications

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Springer US

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DOI

10.1007/0-306-47584-7_2

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ISSN

1573-7721

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Visual graph modeling for scene recognition and mo

Authors: TrongTon Pham Philippe Mulhem Loïc Maisonnasse Eric Gaussier JooHwee Lim
Publish Date: 2010/09/14
Volume: 60, Issue: 2, Pages: 419-441
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Abstract

Image retrieval and categorization may need to consider several types of visual features and spatial information between them eg different point of views of an image This paper presents a novel approach that exploits an extension of the language modeling approach from information retrieval to the problem of graphbased image retrieval and categorization Such versatile graph model is needed to represent the multiple points of views of images A language model is defined on such graphs to handle a fast graph matching We present the experiments achieved with several instances of the proposed model on two collections of images one composed of 3849 touristic images and another composed of 3633 images captured by a mobile robot Experimental results show that using visual graph model VGM improves the accuracies of the results of the standard language model LM and outperforms the Support Vector Machine SVM method

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