Evaluation strategies for image understanding and retrieval

Keiji Yanai, Nikhil V. Shirahatti, Prasad Gabbur, Kobus Barnard

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

4 Scopus citations

Abstract

We address evaluation of image understanding and retrieval large scale image data in the context of three evaluation projects. The first project is a comprehensive strategy for evaluating image retrieval algorithms and provides an open reference data set for doing so. The second project develops word prediction as a semantically relevant evaluation strat-egy, and applies it to the evaluation of of image processing methods for semantic image analysis. The third project eval-uates words for suitability of their visual properties for use in an image annotation framework.

Original languageEnglish (US)
Title of host publicationMIR 2005 - Proceedings of the 7th ACM SIGMM International Workshop on Multimedia Information Retrieval, Co-located with ACM Multimedia 2005
PublisherAssociation for Computing Machinery, Inc
Pages217-226
Number of pages10
ISBN (Electronic)1595932445, 9781595932440
DOIs
StatePublished - Nov 10 2005
Event7th ACM SIGMM International Workshop on Multimedia Information Retrieval, MIR 2005 - Singapore, Singapore
Duration: Nov 10 2005Nov 11 2005

Publication series

NameMIR 2005 - Proceedings of the 7th ACM SIGMM International Workshop on Multimedia Information Retrieval, Co-located with ACM Multimedia 2005

Other

Other7th ACM SIGMM International Workshop on Multimedia Information Retrieval, MIR 2005
Country/TerritorySingapore
CitySingapore
Period11/10/0511/11/05

Keywords

  • Evaluation
  • Image recognition
  • Image retrieval

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Signal Processing
  • Software
  • Media Technology

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