SEMCOG: An integration of SEMantics and COGnition-based approaches for image retrieval

Wen Syan Li, K. Selçuk Candan, Kyoji Hirata

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

5 Scopus citations

Abstract

Image retrieval is a key issue for many image database applications. Existing approaches include browsing and keyword, semantics, and cognition-based query processing. We argue that image retrieval using either approach alone is not effective. We introduce a system, SEMCOG (SEMantics and COGnition-based image retrieval), that allows users to pose a query using both semantics expressions and image examples. In our system, a query, such as "Retrieve all images in which there is a man on the right of a building and the building looks like this sketch", can be posed. This paper presents the architecture of SEMCOG, CSQL (Cognition and Semantics-based Query Language), the query language used in SEMCOG, and query user interfaces. Example queries are used to illustrate the image retrieval process in SEMCOG.

Original languageEnglish (US)
Title of host publicationProceedings of the 1997 ACM Symposium on Applied Computing, SAC 1997
PublisherAssociation for Computing Machinery
Pages136-143
Number of pages8
ISBN (Print)0897918509, 9780897918503
DOIs
StatePublished - 1997
Externally publishedYes
Event1997 ACM Symposium on Applied Computing, SAC 1997 - San Jose, CA, United States
Duration: Feb 28 1997Mar 1 1997

Publication series

NameProceedings of the ACM Symposium on Applied Computing

Other

Other1997 ACM Symposium on Applied Computing, SAC 1997
CountryUnited States
CitySan Jose, CA
Period2/28/973/1/97

Keywords

  • Cognition
  • Contentbased image retrieval
  • Contents
  • Image databases
  • Object-based image retrieval
  • Query processing
  • Semantics

ASJC Scopus subject areas

  • Software

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