Article

Constructing a landmark identification system for geo-tagged photographs based on web data analysis

Authors:

Keiichiro Hoashi,

Toshiaki Uemukai,

Kazunori Matsumoto,

Yasuhiro TakishimaAuthors Info & Claims

ICME'09: Proceedings of the 2009 IEEE international conference on Multimedia and Expo

Pages 606 - 609

Published: 28 June 2009 Publication History

Abstract

In this research, we propose a method to automatically generate a landmark identification system for geo-tagged photographs, based on analysis of various data collected from the Web. The method first conducts Web analysis based on three major procedures: (1) Automatic extraction of points-of-interest (POIs) based on geographical clustering of geo-tagged images, (2) Retrieval of landmark candidates for each extracted POI from search results of map search API, and (3) Collection and feature extraction of Web images of the landmark candidates. The system then identifies the landmark which appears in the query geo-tagged photograph, by comparing the location and content-based features of the query with the information accumulated by the previous procedures. Experimental results show that the proposed method is capable to construct a highly accurate landmark identification system by leveragingWeb information.

References

[1]

K. Toyama, R. Logan, A. Roseway, P. Anandan: "Geographic location tags on digital images", Proc. of ACM Multimedia 2003, pp. 156-166, 2003.

Digital Library

Google Scholar

[2]

D. Carboni, S. Sanna, P. Zanarini: "GeoPix: Image retrieval on the Geo Web, from Camera Click to Mouse Click", Proc. of MobileHCI 2006, pp. 169-172, 2006.

Digital Library

Google Scholar

[3]

M. Naaman, et al.: "Automatic Organization for Digital Photographs with Geographic Coordinates," Proc. of JCDL'04, pp. 53-62, 2004.

Digital Library

Google Scholar

[4]

N. O'Hare, et al.: "My digital photos: where and when?", Proc. of ACM Multimedia 2005, pp. 261-262, 2005.

Digital Library

Google Scholar

[5]

A. Jaffe, M. Naaman, T. Tassa, M. Davis: "Generating summaries for large collections of geo-referenced photographs," Proc. of WWW 2006, pp. 853-854, 2006.

Digital Library

Google Scholar

[6]

L. Kennedy, M. Naaman: "Generating diverse and representative image search results for landmarks," Proc. of WWW 2008, pp. 297-306, 2008.

Digital Library

Google Scholar

[7]

M. Ester, et al.: "A density-based algorithm for discovering clusters in large spatial databases with noise", Proc. of ACM KDD 1996, pp. 226-230, 1996.

Google Scholar

Cited By

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Chen HChen W(2016)GPU-accelerated blind and robust 3D mesh watermarking by geometry imageMultimedia Tools and Applications10.1007/s11042-015-3062-y75:16(10077-10096)Online publication date: 1-Aug-2016
https://dl.acm.org/doi/10.1007/s11042-015-3062-y
Li X(2013)Multi-day and multi-stay travel planning using geo-tagged photosProceedings of the Second ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information10.1145/2534732.2534733(1-8)Online publication date: 5-Nov-2013
https://dl.acm.org/doi/10.1145/2534732.2534733
Park JJain R(2013)Identification of scene locations from geotagged imagesACM Transactions on Multimedia Computing, Communications, and Applications10.1145/2422956.24229619:1(1-23)Online publication date: 19-Feb-2013
https://dl.acm.org/doi/10.1145/2422956.2422961

Constructing a landmark identification system for geo-tagged photographs based on web data analysis
1. Computing methodologies
  1. Machine learning
    1. Machine learning algorithms
2. Information systems

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ICME'09: Proceedings of the 2009 IEEE international conference on Multimedia and Expo

June 2009

1844 pages

ISBN:9781424442904

Publisher

IEEE Press

Publication History

Published: 28 June 2009

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Chen HChen W(2016)GPU-accelerated blind and robust 3D mesh watermarking by geometry imageMultimedia Tools and Applications10.1007/s11042-015-3062-y75:16(10077-10096)Online publication date: 1-Aug-2016
https://dl.acm.org/doi/10.1007/s11042-015-3062-y
Li X(2013)Multi-day and multi-stay travel planning using geo-tagged photosProceedings of the Second ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information10.1145/2534732.2534733(1-8)Online publication date: 5-Nov-2013
https://dl.acm.org/doi/10.1145/2534732.2534733
Park JJain R(2013)Identification of scene locations from geotagged imagesACM Transactions on Multimedia Computing, Communications, and Applications10.1145/2422956.24229619:1(1-23)Online publication date: 19-Feb-2013
https://dl.acm.org/doi/10.1145/2422956.2422961

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Automated annotation of landmark images using community contributed datasets and web resources

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