An intelligent system for integrating semantic and iconic features for image retrieval

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review

2 Scopus Citations
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Author(s)

  • L. H. Tang
  • R. Hanka
  • H. H S Ip
  • K. K T Cheung
  • R. Lam

Detail(s)

Original languageEnglish
Title of host publicationProceedings of Computer Graphics International Conference, CGI
Pages240-246
Publication statusPublished - 2001
Externally publishedYes

Conference

TitleComputer Graphics International 2001
PlaceJapan
CityHong Kong
Period3 June - 6 July 2001

Abstract

The I-Browse project aimed to develop a prototype system to provide facilities for supporting intelligent retrieval of medical image through a combination of iconic and semantic content. The resulting prototype system, I-Browse, is able to extract and represent relevant iconic and semantic information from input images and to automatically generate textual annotations for images. Techniques were also developed for retrieving relevant images from the database given either an example image query or a textual query. The facilities provided by I-Browse were evaluated by medical colleagues and judged to have the potential of alleviating some of the time-consuming tasks that doctors now have to perform daily and providing a means of indentifying previously unknown relationships between visual appearance and histological events.

Citation Format(s)

An intelligent system for integrating semantic and iconic features for image retrieval. / Tang, L. H.; Hanka, R.; Ip, H. H S; Cheung, K. K T; Lam, R.

Proceedings of Computer Graphics International Conference, CGI. 2001. p. 240-246.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review