Scene Recognition with Camere Phones for Tourist Information Access

Abstract : Camera phones present new opportunities and challenges for mobile information association and retrieval. The visual input in the real environment is a new and rich interaction modality between a mobile user and vast information base connected to a user�s device via rapidly advancing communication infrastructure. We have developed a system for tourist information access to provide scene description based on an image taken of the scene. In this paper, we describe the working system, the STOIC 101 database, and a new pattern discovery algorithm to learn image patches that are recurrent within a scene class and discriminative across others. We report preliminary scene recognition results on 90 scenes, trained on 5 images per scene, with an accuracy of 92% and 88% on a test set of 110 images, with and without location priming.
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Communication dans un congrès
ICME 2007, International Conference on Multimedia, and Expo, 2007, Beijing, China. 2007
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https://hal.inria.fr/hal-00953879
Contributeur : Marie-Christine Fauvet <>
Soumis le : vendredi 28 février 2014 - 16:03:02
Dernière modification le : jeudi 11 janvier 2018 - 06:23:23

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  • HAL Id : hal-00953879, version 1

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Joo-Hwee Lim, Yiqun Li, Yilun You, Jean-Pierre Chevallet. Scene Recognition with Camere Phones for Tourist Information Access. ICME 2007, International Conference on Multimedia, and Expo, 2007, Beijing, China. 2007. 〈hal-00953879〉

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