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Investigating summarization techniques for geo-tagged image indexing

Published: 01 April 2012 Publication History

Abstract

Images with geo-tagging information are increasingly available on the Web. However, such images need to be annotated with additional textual information if they are to be retrievable, since users do not search by geo-coordinates. We propose to automatically generate such textual information by (1) generating toponyms from the geo-tagging information (2) retrieving Web documents using toponyms as queries (3) summarizing the retrieved documents. The summaries are then used to index the images. In this paper we investigate how various summarization techniques affect image retrieval performance and show significant improvements can be obtained when using the summaries for indexing.

References

[1]
Aker, A., Gaizauskas, R.: Generating image descriptions using dependency relational patterns. In: Proc. of the ACL, Uppsala, Sweden (2010)
[2]
Aker, A., Gaizauskas, R.: Understanding the types of information humans associate with geographic objects. In: Proceedings of the 20th ACM International Conference on Information and Knowledge Management, pp. 1929-1932. ACM (2011)
[3]
Fan, X., Aker, A., Tomko, M., Smart, P., Sanderson, M., Gaizauskas, R.: Automatic Image Captioning From the Web For GPS Photographs. In: Proc. of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval (2010)
[4]
Sanderson, M., Kohler, J.: Analyzing geographic queries. In: SIGIR Workshop on Geographic Information Retrieval (2004)

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  • (2015)Generating descriptive multi-document summaries of geo-located entities using entity type modelsJournal of the Association for Information Science and Technology10.1002/asi.2321166:4(721-738)Online publication date: 1-Apr-2015
  1. Investigating summarization techniques for geo-tagged image indexing

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    cover image ACM Other conferences
    ECIR'12: Proceedings of the 34th European conference on Advances in Information Retrieval
    April 2012
    584 pages
    ISBN:9783642289965

    Sponsors

    • Universitat Pompeu Fabra
    • Barcelona Media: Barcelona Media
    • Google Inc.
    • Microsoft Research: Microsoft Research
    • Yahoo! Labs

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    Springer-Verlag

    Berlin, Heidelberg

    Publication History

    Published: 01 April 2012

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    • (2015)Generating descriptive multi-document summaries of geo-located entities using entity type modelsJournal of the Association for Information Science and Technology10.1002/asi.2321166:4(721-738)Online publication date: 1-Apr-2015

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