NDLI: Elementary block extraction for mobile image search

Content Provider	IEEE Xplore Digital Library
Author	Mennesson, Jose Tirilly, Pierre Martinet, Jean
Copyright Year	2014
Description	Author affiliation: LIFL UMR Lille 1-CNRS 8022, IRCICA, 50 avenue Halley, 59658 Villeneuve d'Ascq, France (Mennesson, Jose; Tirilly, Pierre; Martinet, Jean)
Abstract	In this paper, we propose an original content-based image retrieval method using bag-of-words dedicated to building matching on mobile devices. In the literature, the repetitiveness of visual words in natural scenes, and especially in building images, has been demonstrated. Assuming images are composed of a set of elementary blocks, we represent them using only a few well-chosen features. In the context of image search on mobile devices, this allows to considerably reduce the size of the data to be sent to the server. This method has been experimented using SIFT descriptors on three well-known databases. Experimental results show that this method can outperform the standard bag-of-words approach while reducing the number of features used to represent images. Moreover, this general framework can be used in conjunction with any kind of descriptors and indexing methods.
Starting Page	3958
Ending Page	3962
File Size	270521
Page Count	5
File Format	PDF
ISBN	9781479957514
DOI	10.1109/ICIP.2014.7025804
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-27
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Vocabulary Buildings Mobile handsets Servers Histograms Mobile communication mobile applications image retrieval bag-of-words visual feature selection building images
Content Type	Text
Resource Type	Article

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