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Content-Based Image Retrieval Systems
, 2001
"... In this paper we present image data representation, similarity image retrieval, the architecture of a generic content-based image retrieval system, and different content-based image retrieval systems. ..."
Abstract
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Cited by 3 (0 self)
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In this paper we present image data representation, similarity image retrieval, the architecture of a generic content-based image retrieval system, and different content-based image retrieval systems.
CONTENT-BASED IMAGE RETRIEVAL
"... Overview of this short course • I will look at two applications of Bayesian statistics and decision theory: 1 The content-based image retrieval problem; 2 Source separation for multi-spectral images; • Both applications were very interesting to me; • The first is much simpler and easy to implement t ..."
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Overview of this short course • I will look at two applications of Bayesian statistics and decision theory: 1 The content-based image retrieval problem; 2 Source separation for multi-spectral images; • Both applications were very interesting to me; • The first is much simpler and easy to implement
METADATA FOR CONTENT-BASED IMAGE RETRIEVAL
"... Abstract. This paper presents an image retrieval technique that com-bines content based image retrieval with pre-computed metadata-based image retrieval. The resulting system will have the advantages of both ap-proaches: the speed/efficiency of metadata-based image retrieval and the accuracy/power o ..."
Content-Based Image Retrieval
- IN PROC. OF CASCON '95 (CD-ROM
, 1995
"... In order to retrieve images it is much more sophisticated and usual for human beings to use natural language concepts, e.g. mountainlake, than syntactical features, e.g. red region left up. This leads to a content-based image retrieval. Furthermore, it is unreasonable for any human being to make the ..."
Abstract
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Cited by 7 (2 self)
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In order to retrieve images it is much more sophisticated and usual for human beings to use natural language concepts, e.g. mountainlake, than syntactical features, e.g. red region left up. This leads to a content-based image retrieval. Furthermore, it is unreasonable for any human being to make
Content based Image Retrieval . . .
, 2000
"... Content based image retrieval is the task of searching images from a database, which are visually similar to a given example image. Since there is no general de nition for visual similarity, there are dierent possible ways to query for visual content. In this work we present methods for content ..."
Abstract
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Content based image retrieval is the task of searching images from a database, which are visually similar to a given example image. Since there is no general de nition for visual similarity, there are dierent possible ways to query for visual content. In this work we present methods for content
Content Based Image Retrieval
"... The importance of an effective technique in searching and retrieving images from the huge collection cannot be overemphasized. One approach for indexing and retrieving image data is using manual text annotations. The annotations can then be used to search images indirectly. But there are several pro ..."
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problems with this approach. First, it is very difficult to describe the contents of an image using only a few keywords. Second, the manual annotation process is very subjective, ambiguous, and incomplete. Those problems have created great demands for automatic and effective techniques for content-based
Content-based Image Retrieval
- Library and Information Briefings
, 1999
"... The JISC Technology Applications Programme is an initiative of the Joint Information Systems Committee of the Higher Education Funding Councils. For more information contact: ..."
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Cited by 50 (1 self)
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The JISC Technology Applications Programme is an initiative of the Joint Information Systems Committee of the Higher Education Funding Councils. For more information contact:
Content-based image retrieval at the end of the early years
- IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
, 2000
"... The paper presents a review of 200 references in content-based image retrieval. The paper starts with discussing the working conditions of content-based retrieval: patterns of use, types of pictures, the role of semantics, and the sensory gap. Subsequent sections discuss computational steps for imag ..."
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Cited by 1618 (24 self)
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The paper presents a review of 200 references in content-based image retrieval. The paper starts with discussing the working conditions of content-based retrieval: patterns of use, types of pictures, the role of semantics, and the sensory gap. Subsequent sections discuss computational steps
Content-Based Image Retrieval
, 2000
"... system works. The IBM QBIC Project Database is an example of this kind. QBIC is a research system that led to a commercial product developed and sold by IBM. It retrieves images based on visual content, including such properties as color percentages, color layout, and texture. Virage, Inc. developed ..."
Abstract
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Cited by 1 (0 self)
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system works. The IBM QBIC Project Database is an example of this kind. QBIC is a research system that led to a commercial product developed and sold by IBM. It retrieves images based on visual content, including such properties as color percentages, color layout, and texture. Virage, Inc
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