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Abstract: Many applications would benefit if media objects such as images could be selected and classified (or clustered) such that "conceptually similar" images are grouped together by content. This requires that image content be described by some coherent semantic domain model rather than relying on the use of keywords as in most commercial image database systems. However, a description of image contents cannot be predefined by prescribing what should be in the images but must incrementally evolve to... (Update)
Context of citations to this paper: More
...with the image matrix, the image objects layer which individualizes the image objects, and the most abstract domain knowledge layer. Goble 96] also focuses on the problem of describing and classifying pictorial information. The authors point out that the description of...
.... oriented, temporal, multimedia and semistructured data modeling to software engineering and ontology management (e.g. [1, 7, 8, 11, 12, 15, 16, 22] and [2, Part 3] Di#erent Description Logics provide for constructors which can be used to combine atomic concepts (unary...
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BibTeX entry: (Update)
C.A. Goble, C. Haul, and S.K. Bechhofer, `Describing and Classifying Multimedia using the Description Logic GRAIL', in Proceeedings of Conference on Storage and Retrieval of Still Image and Video IV, San Jose, volume 2670. SPIE, (1996). http://citeseer.ist.psu.edu/goble96describing.html More
@inproceedings{ goble96describing,
author = "Carole A. Goble and Christian Haul and Sean Bechhofer",
title = "Describing and Classifying Multimedia Using the Description Logic {GRAIL}",
booktitle = "Storage and Retrieval for Image and Video Databases ({SPIE})",
pages = "132--143",
year = "1996",
url = "citeseer.ist.psu.edu/goble96describing.html" }
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