Scene Recognition with Camera Phones for Tourist Information Access

Camera phones present new opportunities and challenges for mobile informationassociation 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.

• Type: Conference
• Year: 2007
• Where: ICMCS
• Authors: Joo-Hwee Lim, Yiqun Li, Yilun You, Jean-Pierre Chevallet
• Keywords: ICMCS 2007, Preliminary Scene Recognition, Scene Class, Scene Description