Multimedia Tools and Applications

, Volume 60, Issue 2, pp 419–441 | Cite as

Visual graph modeling for scene recognition and mobile robot localization

  • Trong-Ton PhamEmail author
  • Philippe Mulhem
  • Loïc Maisonnasse
  • Eric Gaussier
  • Joo-Hwee Lim


Image retrieval and categorization may need to consider several types of visual features and spatial information between them (e.g., 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 graph-based 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 3,849 touristic images and another composed of 3,633 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.


Graph theory Information retrieval Language model Scene Recognition Robot localization 



This work was supported by the French National Agency of Research (ANR-06-MDCA-002). Pham Trong-Ton would like to thank Merlion programme of the French Embassy in Singapore for their supports during his Ph.D study.


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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Trong-Ton Pham
    • 1
    Email author
  • Philippe Mulhem
    • 2
  • Loïc Maisonnasse
    • 3
  • Eric Gaussier
    • 2
  • Joo-Hwee Lim
    • 4
  1. 1.Grenoble Institute of Technology—Laboratoire Informatique de Grenoble (LIG)GrenobleFrance
  2. 2.Multimedia Information Modeling and Retrieval—Laboratoire Informatique de Grenoble (LIG)GrenobleFrance
  3. 3.R&D Department-TecKnowMetrixVoironFrance
  4. 4.Computer Vision and Image Understanding-Institute for Infocomm Research (I2R)ConnexisSingapore

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