Image annotation by hierarchical mapping of features

Qiankun Zhao, Prasenjit Mitra, C. Lee Giles

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

4 Citations (Scopus)

Abstract

In this paper, we propose a novel approach of image annotation byconstructing a hierarchical mapping between low-level visualfeatures and text features utilizing the relations within and acrossboth visual features and text features. Moreover, we propose a novelannotation strategy that maximizes both the accuracy and thediversity of the generated annotation by generalizing or specifyingthe annotation in the corresponding annotation hierarchy.Experiments with 4500 scientific images from Royal Society ofChemistry journals show that the proposed annotation approachproduces satisfactory results at different levels of annotations.

Original languageEnglish
Title of host publication16th International World Wide Web Conference, WWW2007
Pages1237-1238
Number of pages2
DOIs
Publication statusPublished - 23 Oct 2007
Event16th International World Wide Web Conference, WWW2007 - Banff, AB, Canada
Duration: 8 May 200712 May 2007

Publication series

Name16th International World Wide Web Conference, WWW2007

Other

Other16th International World Wide Web Conference, WWW2007
CountryCanada
CityBanff, AB
Period8/5/0712/5/07

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Keywords

  • Feature mapping
  • Hierarchical relation
  • Image annotation

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

Cite this

Zhao, Q., Mitra, P., & Giles, C. L. (2007). Image annotation by hierarchical mapping of features. In 16th International World Wide Web Conference, WWW2007 (pp. 1237-1238). (16th International World Wide Web Conference, WWW2007). https://doi.org/10.1145/1242572.1242784