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      Mobile image search using multi-query images

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      Author
      Çalışır, Fatih
      Bastan, M.
      Güdükbay, Uğur
      Ulusoy, Özgür
      Date
      2015
      Source Title
      2015 23nd Signal Processing and Communications Applications Conference (SIU)
      Publisher
      IEEE
      Pages
      371 - 374
      Language
      Turkish
      Type
      Conference Paper
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      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 words
      Combining 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/11693/27985
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/SIU.2015.7129836
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      • Department of Computer Engineering 1370
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