Learning the semantics of words and pictures

Jacobus J Barnard, D. Forsyth

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

392 Scopus citations

Abstract

We present a statistical model for organizing image collections which integrates semantic information provided by associated text and visual information provided by image features. The model is very promising for information retrieval tasks such as database browsing and searching for images based on text and/or image features. Furthermore, since the model learns relationships between text and image features, it can be used for novel applications such as associating words with pictures and unsupervised learning for object recognition.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE International Conference on Computer Vision
Pages408-415
Number of pages8
Volume2
Publication statusPublished - 2001
Externally publishedYes
Event8th International Conference on Computer Vision - Vancouver, BC, United States
Duration: Jul 9 2001Jul 12 2001

Other

Other8th International Conference on Computer Vision
CountryUnited States
CityVancouver, BC
Period7/9/017/12/01

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ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Software

Cite this

Barnard, J. J., & Forsyth, D. (2001). Learning the semantics of words and pictures. In Proceedings of the IEEE International Conference on Computer Vision (Vol. 2, pp. 408-415)