SEMCOG: An object-based image retrieval system and its visual query interface

Wen Syan Li, Kasim Candan, Kyoji Hirata, Yoshinori Hara

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

4 Scopus citations

Abstract

The semantics and cognition-based (SEMCOG) image retrieval has been developed to integrate semantics and cognition-based approaches to give users greater flexibility in posing queries. SEMCOG's image matching is based on objects in the images rather than the whole images. In SEMCOG, a query 'retrieve all images in which there is a man to the right of a car and the man looks like this image' can be posed using combinations of semantics and visual expressions. The queries are posed in the way of specifying image objects in their layouts using a visual query interface, in frame query (IFQ), rather than complicated multimedia database query languages.

Original languageEnglish (US)
Title of host publicationSIGMOD Record (ACM Special Interest Group on Management of Data)
EditorsJ.M. Peckman
PublisherACM
Pages521-524
Number of pages4
Volume26
Edition2
StatePublished - Jun 1997
Externally publishedYes
EventProceedings of the 1997 ACM SIGMOD International Conference on Management of Data - Tucson, AZ, USA
Duration: May 13 1997May 15 1997

Other

OtherProceedings of the 1997 ACM SIGMOD International Conference on Management of Data
CityTucson, AZ, USA
Period5/13/975/15/97

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Information Systems
  • Software

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