Conference paper
A hierarchical discriminant analysis framework for content-based image retrieval system for industrial applications
IEEE
2005 3rd IEEE International Conference on Industrial Informatics, INDIN (Perth, W.A., 10/08/2005–12/08/2005)
2005
Abstract
Content-based image retrieval (CBIR) systems have drawn interest from many researchers in recent years. One of the potential applications of CBIR is in industrial areas where the most relevant drawings or images can be retrieved speedily without the need to memorize any file name or specific key-words. To increase the retrieval speed, most of the systems pre-process the stored images by extracting a set of predefined features. Such scheme only works well for the server type database systems where the images have been stored previously. It is not feasible for systems that analyze images in real-time where the images are stored or added on an ongoing basis. For instance, personal image search engine for the World-Wide-Web is such an example. In this paper, the authors propose a multi-layer statistical discriminant framework which is able to select the most appropriate features to analyze newly received images thereby improving the retrieval accuracy and efficiency.
Details
- Title
- A hierarchical discriminant analysis framework for content-based image retrieval system for industrial applications
- Authors/Creators
- K.P. Chung (Author/Creator) - Murdoch UniversityC.C. Fung (Author/Creator) - Murdoch University
- Conference
- 2005 3rd IEEE International Conference on Industrial Informatics, INDIN (Perth, W.A., 10/08/2005–12/08/2005)
- Publisher
- IEEE
- Identifiers
- 991005544109607891
- Copyright
- © 2005 IEEE
- Murdoch Affiliation
- School of Information Technology
- Language
- English
- Resource Type
- Conference paper
- Note
- Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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