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Texture Content-Based Retrieval Using Content Descriptions

Texture Content-Based Retrieval Using Content Descriptions
Texture Content-Based Retrieval Using Content Descriptions
We have developed a content based retrieval scheme for texture which makes use of text based descriptions of the texture as well as explicit representations of the image content. The texture representation technique is based on our previous work which uses very simple texture primitives such as edges and plain regions to generate features. Other texture representations that apply more complicated statistics can be difficult to transcribe into understandable forms for normal users. With the simplicity of our features, we can express the texture in terms of simple language. This gives the user a more flexible interface to the image texture and attempts to bridge the gap between semantics and computed features. A number of benefits can be achieved, offerrng new possibilities for content based retrieval with texture. For example, the user can request a texture image without necessarily knowing what types of textures are stored and can modify a pre-existing texture using high level instructions. In this paper we describe the method of translating such features and the partial weighted Euclidean distance matching which allows users to describe only the aspects of the texture in which they are interested. This allows them to gradually refine their texture descriptions.
75--85
Kuan, Joseph K. P.
441cb534-30bf-4193-90cb-2a33d37c335a
Joyce, Dan W.
21018c91-19aa-4547-aa19-afefae6b661a
Lewis, Paul H.
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Kuan, Joseph K. P.
441cb534-30bf-4193-90cb-2a33d37c335a
Joyce, Dan W.
21018c91-19aa-4547-aa19-afefae6b661a
Lewis, Paul H.
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020

Kuan, Joseph K. P., Joyce, Dan W. and Lewis, Paul H. (1999) Texture Content-Based Retrieval Using Content Descriptions At Storage and Retrieval for Image and Video Databases VII. , 75--85.

Record type: Conference or Workshop Item (Other)

Abstract

We have developed a content based retrieval scheme for texture which makes use of text based descriptions of the texture as well as explicit representations of the image content. The texture representation technique is based on our previous work which uses very simple texture primitives such as edges and plain regions to generate features. Other texture representations that apply more complicated statistics can be difficult to transcribe into understandable forms for normal users. With the simplicity of our features, we can express the texture in terms of simple language. This gives the user a more flexible interface to the image texture and attempts to bridge the gap between semantics and computed features. A number of benefits can be achieved, offerrng new possibilities for content based retrieval with texture. For example, the user can request a texture image without necessarily knowing what types of textures are stored and can modify a pre-existing texture using high level instructions. In this paper we describe the method of translating such features and the partial weighted Euclidean distance matching which allows users to describe only the aspects of the texture in which they are interested. This allows them to gradually refine their texture descriptions.

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More information

Published date: 1999
Venue - Dates: Storage and Retrieval for Image and Video Databases VII, 1999-01-01
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 250796
URI: http://eprints.soton.ac.uk/id/eprint/250796
PURE UUID: 63f1f3c0-97e9-484c-adec-f9127c375c61

Catalogue record

Date deposited: 16 Feb 2000
Last modified: 18 Jul 2017 10:33

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Contributors

Author: Joseph K. P. Kuan
Author: Dan W. Joyce
Author: Paul H. Lewis

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