NDLI: Scene Recognition with Camera Phones for Tourist Information Access

Content Provider	IEEE Xplore Digital Library
Author	Joo-Hwee Lim Yiqun Li Yilun You Chevallet, J.-P.
Copyright Year	2007
Description	Author affiliation: French-Singapore IPAL Joint Lab., Singapore (Joo-Hwee Lim; Yiqun Li; Yilun You)
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.
Starting Page	100
Ending Page	103
File Size	481360
Page Count	4
File Format	PDF
ISBN	1424410169
DOI	10.1109/ICME.2007.4284596
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-07-02
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Layout Image recognition Image databases Testing Digital cameras Information retrieval Mobile communication Image retrieval Power system modeling Prototypes
Content Type	Text
Resource Type	Article

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