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- W2188049395 abstract "Inimageretrieval systems, userinformation needs is expressed using multiple types ofquery. Unfortunately, duetousersubjectivity perception tovisualfeatures and semantic depths ofimages, theconventional query submitted tothesystem encounter difficulties toidentify userinformation need.Theblooming ofinterest in semantic imageretrieval requires current research direction tobemoreconcerned intosemantics. This paperdescribes ouron-going research workin formulating anewquery approach forimagedatabases. UsingtheMRML asthecommunication protocol, SVG asthevisual content description (sketch based) and XMLforbinding thesemantic meanings ofimages, this research provides an initial framework towards semantic based queryformulation framework." @default.
- W2188049395 created "2016-06-24" @default.
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- W2188049395 date "2006-01-01" @default.
- W2188049395 modified "2023-09-27" @default.
- W2188049395 title "A Structured Sketch basedQuerySpecification Approach withDataBinding MethodforSemantic ImageRetrieval" @default.
- W2188049395 cites W1991035236 @default.
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- W2188049395 hasPublicationYear "2006" @default.
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