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Conference Paper: Extending databases to support image editing

TitleExtending databases to support image editing
Authors
Issue Date2000
Citation
IEEE International Conference on Multi-Media and Expo, 2000, n. I/MONDAY, p. 235-238 How to Cite?
AbstractIn order to understand similarity between images, recent research has focused on adaptable searches and fuzzy queries. However, one of the best means for determining similarity between images is to know how the image was created. If the image is a combination of other images in the database, then there is a great deal of similarity between the base images and the created one. This requires extending the database to support image editing operations. We have built a preliminary system which does this by using a web-based image editor and a image server. The editor and the server understand a logical model language that represents images. This paper then explores the issues of performance for deriving images from a sequence of operations.
Persistent Identifierhttp://hdl.handle.net/10722/336018

 

DC FieldValueLanguage
dc.contributor.authorSpeegle, G.-
dc.contributor.authorGao, A. M.-
dc.contributor.authorHu, S.-
dc.contributor.authorGruenwald, L.-
dc.date.accessioned2024-01-15T08:22:03Z-
dc.date.available2024-01-15T08:22:03Z-
dc.date.issued2000-
dc.identifier.citationIEEE International Conference on Multi-Media and Expo, 2000, n. I/MONDAY, p. 235-238-
dc.identifier.urihttp://hdl.handle.net/10722/336018-
dc.description.abstractIn order to understand similarity between images, recent research has focused on adaptable searches and fuzzy queries. However, one of the best means for determining similarity between images is to know how the image was created. If the image is a combination of other images in the database, then there is a great deal of similarity between the base images and the created one. This requires extending the database to support image editing operations. We have built a preliminary system which does this by using a web-based image editor and a image server. The editor and the server understand a logical model language that represents images. This paper then explores the issues of performance for deriving images from a sequence of operations.-
dc.languageeng-
dc.relation.ispartofIEEE International Conference on Multi-Media and Expo-
dc.titleExtending databases to support image editing-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-0034501920-
dc.identifier.issueI/MONDAY-
dc.identifier.spage235-
dc.identifier.epage238-

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