Mobile image search using multi-query images
2015 23nd Signal Processing and Communications Applications Conference (SIU)
371 - 374
Item Usage Stats
MetadataShow full item record
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.
KeywordsBag of visual words
Content-based image search
Mobile visual search
Cellular telephone systems
Content based images
Mobile visual searches
Published Version (Please cite this version)http://dx.doi.org/10.1109/SIU.2015.7129836
Showing items related by title, author, creator and subject.
Şaykol, E.; Güdükbay U.; Ulusoy, Özgür (Elsevier, 2005)Considering the fact that querying by low-level object features is essential in image and video data, an efficient approach for querying and retrieval by shape and color is proposed. The approach employs three specialized ...
Static index pruning in web search engines: combining term and document popularities with query views Altingovde, I. S.; Ozcan, R.; Ulusoy, O. (Association for Computing Machinery, 2012)Static index pruning techniques permanently remove a presumably redundant part of an inverted file, to reduce the file size and query processing time. These techniques differ in deciding which parts of an index can be ...
Altıngövde, İ. Ş.; Blanco, R.; Cambazoğlu, B. B.; Özcan, Rıfat; Sarıgil, Erdem; Ulusoy, Özgür (ACM, 2012-11)Despite the continuous efforts to improve the web search quality, a non-negligible fraction of user queries end up with very few or even no matching results in leading web search engines. In this work, we provide a detailed ...