Content-based Image Retrieval with Intensive Signature in Shape Matching

Huan Chao Keh, Timothy K. Shih, Lawrence Y. Deng, Yeong Huei Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Content-based image retrieval is being implement in many databases especially in digital libraries. In many specialized fields, professionals often wish the content-based image retrieval system could provide more sensitive at shape matching to exploit or classify some kinds of species. In our experience, ecosystem synopsis of fishes is the obvious illustration. Hence, we offered a series of methods to aim at these problems for solving. Such as defined the signature of the object, statistical recognition and species classify.

Original languageEnglish
Title of host publicationProceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000, Volume 2
EditorsP.P. Wang, P.P. Wang
Pages689-692
Number of pages4
Edition2
StatePublished - 2000
EventProceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000 - Atlantic City, NJ, United States
Duration: 27 Feb 20003 Mar 2000

Publication series

NameProceedings of the Joint Conference on Information Sciences
Number2
Volume5

Conference

ConferenceProceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000
Country/TerritoryUnited States
CityAtlantic City, NJ
Period27/02/003/03/00

Keywords

  • Content-based image retrieval
  • Digital libraries
  • Signature

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