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

Wen Syan Li, K. Selcuk Candan

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Multimedia data types, such as image and video, are structurally more complex than traditional data types. We view an image 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, etc.). In this paper, we first present a framework for modeling images and videos using object-based hierarchical structures. The proposed structure supports image retrieval at both whole-image and object levels. We show how to extend the object-based image modeling framework to video retrieval at object, frame, action, and composite action levels. The advantages of our approach are as follows: (1) hierarchical model allows translation of video retrieval queries to image retrieval queries with additional temporal relationships; (2) concept definitions release users from learning the system and implementation details and the language syntax; and (3) IFQ, a visual query interface, specifically designed for object-based image retrieval is extended for video retrieval query interfaces.

Original languageEnglish (US)
Pages (from-to)163-180
Number of pages18
JournalTheory and Practice of Object Systems
Volume5
Issue number3
DOIs
StatePublished - Jan 1 1999
Externally publishedYes

ASJC Scopus subject areas

  • Engineering(all)

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