Paper
17 December 1998 Texture content-based retrieval using text descriptions
Joseph K. P. Kuan, Dan W. Joyce, Paul H. Lewis
Author Affiliations +
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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Joseph K. P. Kuan, Dan W. Joyce, and Paul H. Lewis "Texture content-based retrieval using text descriptions", Proc. SPIE 3656, Storage and Retrieval for Image and Video Databases VII, (17 December 1998); https://doi.org/10.1117/12.333896
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CITATIONS
Cited by 9 scholarly publications.
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KEYWORDS
Databases

Feature extraction

Image retrieval

Tin

Visualization

Associative arrays

Human-machine interfaces

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