Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/111282
Title: Scheme for visual feature-based image indexing
Authors: Zhang, HongJiang 
Zhong, Di
Issue Date: 1995
Citation: Zhang, HongJiang,Zhong, Di (1995). Scheme for visual feature-based image indexing. Proceedings of SPIE - The International Society for Optical Engineering 2420 : 36-46. ScholarBank@NUS Repository.
Abstract: As digital images are progressing into the mainstream of information systems, managing and manipulating them as images becomes an important issue to be resolved before we can take full advantage of their information content. To achieve content-based image indexing and retrieval, there are active research efforts in developing techniques to utilize visual features. On the other hand, without an effective indexing scheme, any visual content based image retrieval approach will lose its effectiveness as the number of features increases. This paper presents our initial work in developing an efficient indexing scheme using artificial neural network, which focuses on eliminating unlikely candidates rather than pin-pointing the targets directly. Experiment results in retrieving images using this scheme from a prototype visual database system are given.
Source Title: Proceedings of SPIE - The International Society for Optical Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/111282
ISBN: 081941767X
ISSN: 0277786X
Appears in Collections:Staff Publications

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