'Clickable real world' information retrieval application based on geo-visual clustering

Takashi Ito, Atsushi Shimada, Hajime Nagahara, Rin Ichiro Taniguchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose an intuitive operation based information retrieval system 'Clickable Real World (CRW)'. If a user which uses this system takes a picture of a landmark in the world, some related information is displayed on a smartphone. One of the key research issues is how to estimate appropriate keywords in order to retrieve information related to the target. Our strategy utilizes a lot of training samples, which consist of images, tags and geolocation where the image was taken, shared on the Web (such as flickr and Picasa). Then, a keyword table is created based on the consistency of geolocation and visual feature. We developed a prototype version of CRW on a smartphone, and conducted a field experiment in Kyoto city, Japan.

Original languageEnglish
Title of host publicationFCV 2013 - Proceedings of the 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision
Pages22-25
Number of pages4
DOIs
Publication statusPublished - Apr 15 2013
Event19th Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2013 - Incheon, Korea, Republic of
Duration: Jan 30 2013Feb 1 2013

Publication series

NameFCV 2013 - Proceedings of the 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision

Other

Other19th Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2013
CountryKorea, Republic of
CityIncheon
Period1/30/132/1/13

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All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

Cite this

Ito, T., Shimada, A., Nagahara, H., & Taniguchi, R. I. (2013). 'Clickable real world' information retrieval application based on geo-visual clustering. In FCV 2013 - Proceedings of the 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision (pp. 22-25). [6485453] (FCV 2013 - Proceedings of the 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision). https://doi.org/10.1109/FCV.2013.6485453