Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/111141
DC FieldValue
dc.titleApplying relevance feedback to a photo archival system
dc.contributor.authorPrice, Rosanne
dc.contributor.authorChua, Tat-Seng
dc.contributor.authorAl-Hawamdeh, Suliman
dc.date.accessioned2014-11-27T09:45:01Z
dc.date.available2014-11-27T09:45:01Z
dc.date.issued1992
dc.identifier.citationPrice, Rosanne,Chua, Tat-Seng,Al-Hawamdeh, Suliman (1992). Applying relevance feedback to a photo archival system. Journal of Information Science 18 (3) : 203-215. ScholarBank@NUS Repository.
dc.identifier.issn01655515
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/111141
dc.description.abstractRelevance feedback techniques have been successfully applied to document retrieval systems (DRS) to refine queries and document representations. This paper represents a first attempt to apply and optimise relevance feedback techniques to improve retrieval in a text-based image archival system. The design exploits the rapid assessment possible with image data to facilitate query refinement and collect large amounts of relevance feedback data. This data can then be used to extend incomplete image descriptions, thus ameliorating problems associated with text annotation of images. Visually oriented relevance feedback and query modification is implemented using direct manipulation of icons. An algorithm designed for dynamic modification of image descriptions based on relevance feedback is proposed, implemented, and experimentally tested. Initial experiments show significant improvements and demonstrate the potential of using these techniques for image retrieval applications.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentINSTITUTE OF SYSTEMS SCIENCE
dc.contributor.departmentINFORMATION SYSTEMS & COMPUTER SCIENCE
dc.description.sourcetitleJournal of Information Science
dc.description.volume18
dc.description.issue3
dc.description.page203-215
dc.description.codenJISCD
dc.identifier.isiutNOT_IN_WOS
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