Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/111141
Title: Applying relevance feedback to a photo archival system
Authors: Price, Rosanne 
Chua, Tat-Seng 
Al-Hawamdeh, Suliman 
Issue Date: 1992
Citation: Price, 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.
Abstract: Relevance 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.
Source Title: Journal of Information Science
URI: http://scholarbank.nus.edu.sg/handle/10635/111141
ISSN: 01655515
Appears in Collections:Staff Publications

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