SEMCOG: A hybrid object-based image database system and its modeling, language, and query processing

Wen Syan Li, Kasim Candan

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

7 Scopus citations

Abstract

Image data is structurally more complex than traditional types of data. An image can be viewed as a compound object containing many sub-objects. Each sub-object corresponds to image regions that are visually and semantically meaningful (e.g. car, man, and etc). We introduce a hierarchical structure for image modeling that supports image retrieval, at both whole-image and object levels, using combinations of semantics expressions and visual examples. We present formal definition of a multimedia query language, we give details of the implementation and query processing, and we discuss our methods for merging similarities from different types of query criteria.

Original languageEnglish (US)
Title of host publicationProceedings - International Conference on Data Engineering
Editors Anon
Place of PublicationLos Alamitos, CA, United States
PublisherIEEE Comp Soc
Pages284-291
Number of pages8
StatePublished - 1998
Externally publishedYes
EventProceedings of the 1998 14th International Conference on Data Engineering - Orlando, FL, USA
Duration: Feb 23 1998Feb 27 1998

Other

OtherProceedings of the 1998 14th International Conference on Data Engineering
CityOrlando, FL, USA
Period2/23/982/27/98

ASJC Scopus subject areas

  • Software
  • Engineering(all)
  • Engineering (miscellaneous)

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    Li, W. S., & Candan, K. (1998). SEMCOG: A hybrid object-based image database system and its modeling, language, and query processing. In Anon (Ed.), Proceedings - International Conference on Data Engineering (pp. 284-291). IEEE Comp Soc.