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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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Contributor : Marie-Christine Fauvet <>
Submitted on : Friday, February 28, 2014 - 4:03:02 PM
Last modification on : Thursday, November 19, 2020 - 12:59:40 PM


  • HAL Id : hal-00953879, version 1


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. ⟨hal-00953879⟩



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