Mobile image search using multi-query images
Author
Çalışır, Fatih
Bastan, M.
Güdükbay, Uğur
Ulusoy, Özgür
Date
2015Source Title
2015 23nd Signal Processing and Communications Applications Conference (SIU)
Publisher
IEEE
Pages
371 - 374
Language
Turkish
Type
Conference PaperItem Usage Stats
216
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views
140
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downloads
Abstract
Recent advances in mobile device technology have turned the mobile phones into powerfull devices with high resolution cameras and fast processing capabilities. Having more user interaction potential compared to regular PCs, mobile devices with cameras can enable richer content-based object image queries: the user can capture multiple images of the query object from different viewing angles and at different scales, thereby providing much more information about the object to improve the retrieval accuracy. The goal of this paper is to improve the mobile image retrieval performance using multiple query images. To this end, we use the well-known bag-of-visual-words approach to represent the images, and employ early and late fusion strategies to utilize the information in multiple query images. With extensive experiments on an object image dataset with a single object per image, we show that multi-image queries result in higher average precision performance than single image queries. © 2015 IEEE.
Keywords
Bag of visual wordsCombining queries
Content-based image search
Mobile visual search
Multi-query
Cameras
Cellular telephone systems
Mobile devices
Query processing
Signal processing
Bag-of-visual-words
Combining queries
Content based images
Mobile visual searches
Multi-query
Image retrieval
Permalink
http://hdl.handle.net/11693/27985Published Version (Please cite this version)
http://dx.doi.org/10.1109/SIU.2015.7129836Collections
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