Mobile multi-view object image search
buir.contributor.author | Ulusoy, Özgür | |
buir.contributor.author | Güdükbay, Uğur | |
dc.citation.epage | 12456 | en_US |
dc.citation.issueNumber | 10 | en_US |
dc.citation.spage | 12433 | en_US |
dc.citation.volumeNumber | 76 | en_US |
dc.contributor.author | Çalışır, F. | en_US |
dc.contributor.author | Baştan M. | en_US |
dc.contributor.author | Ulusoy, Özgür | en_US |
dc.contributor.author | Güdükbay, Uğur | en_US |
dc.date.accessioned | 2018-04-12T11:14:10Z | |
dc.date.available | 2018-04-12T11:14:10Z | |
dc.date.issued | 2017 | en_US |
dc.department | Department of Computer Engineering | en_US |
dc.description.abstract | High user interaction capability of mobile devices can help improve the accuracy of mobile visual search systems. At query time, it is possible to capture multiple views of an object from different viewing angles and at different scales with the mobile device camera to obtain richer information about the object compared to a single view and hence return more accurate results. Motivated by this, we propose a new multi-view visual query model on multi-view object image databases for mobile visual search. Multi-view images of objects acquired by the mobile clients are processed and local features are sent to a server, which combines the query image representations with early/late fusion methods and returns the query results. We performed a comprehensive analysis of early and late fusion approaches using various similarity functions, on an existing single view and a new multi-view object image database. The experimental results show that multi-view search provides significantly better retrieval accuracy compared to traditional single view search. © 2016, Springer Science+Business Media New York. | en_US |
dc.description.provenance | Made available in DSpace on 2018-04-12T11:14:10Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 179475 bytes, checksum: ea0bedeb05ac9ccfb983c327e155f0c2 (MD5) Previous issue date: 2017 | en |
dc.identifier.doi | 10.1007/s11042-016-3659-9 | en_US |
dc.identifier.issn | 1380-7501 | |
dc.identifier.uri | http://hdl.handle.net/11693/37465 | |
dc.language.iso | English | en_US |
dc.publisher | Springer New York LLC | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1007/s11042-016-3659-9 | en_US |
dc.source.title | Multimedia Tools and Applications | en_US |
dc.subject | Bag of visual words | en_US |
dc.subject | Fusion | en_US |
dc.subject | Mobile visual search | en_US |
dc.subject | Multi-view search | en_US |
dc.subject | Fusion reactions | en_US |
dc.subject | User interaction | en_US |
dc.title | Mobile multi-view object image search | en_US |
dc.type | Article | en_US |
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