1998年9月
Hierarchical image modeling for object-based media retrieval
DATA & KNOWLEDGE ENGINEERING
- ,
- ,
- ,
- 巻
- 27
- 号
- 2
- 開始ページ
- 139
- 終了ページ
- 176
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1016/S0169-023X(97)00058-X
- 出版者・発行元
- ELSEVIER SCIENCE BV
Images an more structurally complex than the data stored in the traditional DBMSs. Many systems perform media retrieval based on image feature matching; the fact that images have structures is ignored. On the other hand, we view images as compound objects containing many component objects. Each component object corresponds to a region(s) that is a visually and semantically meaningful entity (e.g. car, man, etc.). As images/objects truly have hierarchical structures and have both visual and semantics properties, we argue that image retrieval using either semantics and image matching alone is insufficient. In this paper, we introduce a hierarchical structure for image modeling to support image retrieval using combinations of semantic expressions and visual examples at both the whole image and object levels. We give formal definitions of a multimedia query language and a system implementation based on this image modeling. We also address associated query processing issues and discuss the portability and extendibility of our approach.
- リンク情報
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- DOI
- https://doi.org/10.1016/S0169-023X(97)00058-X
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000075314300002&DestApp=WOS_CPL
- URL
- http://dblp.uni-trier.de/db/journals/dke/dke27.html#journals/dke/LiCHH98
- ID情報
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- DOI : 10.1016/S0169-023X(97)00058-X
- ISSN : 0169-023X
- Web of Science ID : WOS:000075314300002