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Proceedings Paper

Texture content-based retrieval using text descriptions
Author(s): Joseph K. P. Kuan; Dan W. Joyce; Paul H. Lewis
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Paper Abstract

We developed a content-based retrieval scheme for texture by using text-based description. The texture technique is based on our previous work, which uses very simple texture primitives, such as edges and plain regions to generate features. Other methods that apply complicated statistics can be difficult to transcribe into understandable forms for normal users. Unlike these other methods, with the simplicity of our features, we can express them in terms of simple language. Hence, we can bridge the gap between semantics and computed features. A number of benefits can be achieved, which open a new horizon for content-based retrieval with texture. For example, the user can request a texture image without necessarily knowing what types of textures are stored.

Paper Details

Date Published: 17 December 1998
PDF: 11 pages
Proc. SPIE 3656, Storage and Retrieval for Image and Video Databases VII, (17 December 1998); doi: 10.1117/12.333896
Show Author Affiliations
Joseph K. P. Kuan, ADC Metrica and Univ. of Southampton (United Kingdom)
Dan W. Joyce, Univ. of Southampton (United Kingdom)
Paul H. Lewis, Univ. of Southampton (United Kingdom)


Published in SPIE Proceedings Vol. 3656:
Storage and Retrieval for Image and Video Databases VII
Minerva M. Yeung; Boon-Lock Yeo; Charles A. Bouman, Editor(s)

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