SEMCOG: A hybrid object-based image and video database system and its modeling, language, and query processing
✍ Scribed by Li, Wen-Syan; Candan, K. Sel�uk
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 326 KB
- Volume
- 5
- Category
- Article
- ISSN
- 1074-3227
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✦ Synopsis
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 wholeimage 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 objectbased image retrieval is extended for video retrieval query interfaces.