Integrated Region Based Image Retrieval (27 results)

Language: English
Published by Springer, 2001
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Language: English
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Language: English
Published by Springer, 2001
Series: The Information Retrieval, Book 26 of 42. Book 26 of 42 - The Information Retrieval
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Condition: New. pp. 196 Index.

Language: English
Published by Springer, 2001
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Language: English
Published by Springer, 2012
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Language: English
Published by Springer, 2001
Series: The Information Retrieval, Book 26 of 42. Book 26 of 42 - The Information Retrieval
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Language: English
Published by Springer, 2001
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Condition: New. pp. 196 Illus.

Language: English
Published by Springer, 2001
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Language: English
Published by Springer US, 2012
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Language: English
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Language: English
Published by Springer, 2012
Series: The Information Retrieval, Book 26 of 42. Book 26 of 42 - The Information Retrieval
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Language: English
Published by Springer US, 2001
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Condition: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher | Content-based image retrieval is the set of techniques for retrieving relevant images from an image database on the basis of automatically derived image features. The need for efficient content-based image re trieval has increased tremendously in many appl…ication areas such as biomedicine, the military, commerce, education, and Web image clas sification and searching. In the biomedical domain, content-based im age retrieval can be used in patient digital libraries, clinical diagnosis, searching of 2-D electrophoresis gels, and pathology slides. I started my work on content-based image retrieval in 1995 when I was with Stanford University. The project was initiated by the Stan ford University Libraries and later funded by a research grant from the National Science Foundation. The goal was to design and implement a computer system capable of indexing and retrieving large collections of digitized multimedia data available in the libraries based on the media contents. At the time, it seemed reasonable to me that I should discover the solution to the image retrieval problem during the project. Experi ence has certainly demonstrated how far we are as yet from solving this basic problem.

Language: English
Published by Springer US, Springer US, 2012
Series: The Information Retrieval, Book 26 of 42. Book 26 of 42 - The Information Retrieval
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Content-based image retrieval is the set of techniques for retrieving relevant images from an image database on the basis of automatically derived image features. The need for efficient content-based image re trieval has increased tremendously in m…any application areas such as biomedicine, the military, commerce, education, and Web image clas sification and searching. In the biomedical domain, content-based im age retrieval can be used in patient digital libraries, clinical diagnosis, searching of 2-D electrophoresis gels, and pathology slides. I started my work on content-based image retrieval in 1995 when I was with Stanford University. The project was initiated by the Stan ford University Libraries and later funded by a research grant from the National Science Foundation. The goal was to design and implement a computer system capable of indexing and retrieving large collections of digitized multimedia data available in the libraries based on the media contents. At the time, it seemed reasonable to me that I should discover the solution to the image retrieval problem during the project. Experi ence has certainly demonstrated how far we are as yet from solving this basic problem.

Language: English
Published by Springer US, Springer US, 2001
Series: The Information Retrieval, Book 26 of 42. Book 26 of 42 - The Information Retrieval
- Hardcover
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Content-based image retrieval is the set of techniques for retrieving relevant images from an image database on the basis of automatically derived image features. The need for efficient content-based image re trieval has increased tremendously in many app…lication areas such as biomedicine, the military, commerce, education, and Web image clas sification and searching. In the biomedical domain, content-based im age retrieval can be used in patient digital libraries, clinical diagnosis, searching of 2-D electrophoresis gels, and pathology slides. I started my work on content-based image retrieval in 1995 when I was with Stanford University. The project was initiated by the Stan ford University Libraries and later funded by a research grant from the National Science Foundation. The goal was to design and implement a computer system capable of indexing and retrieving large collections of digitized multimedia data available in the libraries based on the media contents. At the time, it seemed reasonable to me that I should discover the solution to the image retrieval problem during the project. Experi ence has certainly demonstrated how far we are as yet from solving this basic problem.

Language: English
Published by Springer, 2012
Series: The Information Retrieval, Book 26 of 42. Book 26 of 42 - The Information Retrieval
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Language: English
Published by SPRINGER, 2001
Series: The Information Retrieval, Book 26 of 42. Book 26 of 42 - The Information Retrieval
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Language: English
Published by Springer, 2001
Series: The Information Retrieval, Book 26 of 42. Book 26 of 42 - The Information Retrieval
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Language: English
Published by Springer, 2012
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Language: English
Published by Springer US, Springer US Okt 2012, 2012
Series: The Information Retrieval, Book 26 of 42. Book 26 of 42 - The Information Retrieval
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Content-based image retrieval is the set of techniques for retrieving relevant images from an image database on the basis of automatically derived image features. The need for efficient content-based image re trieval has increased t…remendously in many application areas such as biomedicine, the military, commerce, education, and Web image clas sification and searching. In the biomedical domain, content-based im age retrieval can be used in patient digital libraries, clinical diagnosis, searching of 2-D electrophoresis gels, and pathology slides. I started my work on content-based image retrieval in 1995 when I was with Stanford University. The project was initiated by the Stan ford University Libraries and later funded by a research grant from the National Science Foundation. The goal was to design and implement a computer system capable of indexing and retrieving large collections of digitized multimedia data available in the libraries based on the media contents. At the time, it seemed reasonable to me that I should discover the solution to the image retrieval problem during the project. Experi ence has certainly demonstrated how far we are as yet from solving this basic problem. 196 pp. Englisch.

Language: English
Published by Springer, 2012
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Language: English
Published by Springer, 2001
Series: The Information Retrieval, Book 26 of 42. Book 26 of 42 - The Information Retrieval
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More imagesLanguage: English
Published by Springer, 2012
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Taschenbuch. Condition: Neu. Integrated Region-Based Image Retrieval | James Z. Wang | Taschenbuch | The Information Retrieval Series | xiv | Englisch | 2012 | Springer | EAN 9781461356554 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | An…bieter: preigu Print on Demand.

Language: English
Published by Springer, 2012
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Language: English
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Buch. Condition: Neu. Integrated Region-Based Image Retrieval | James Z. Wang | Buch | xiv | Englisch | 2001 | Springer US | EAN 9780792373506 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Language: English
Published by Springer, Springer Okt 2012, 2012
Series: The Information Retrieval, Book 26 of 42. Book 26 of 42 - The Information Retrieval
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Content-based image retrieval is the set of techniques for retrieving relevant images from an image database on the basis of automatically derived image features. The need for efficient content-based image re trieval has increased treme…ndously in many application areas such as biomedicine, the military, commerce, education, and Web image clas sification and searching. In the biomedical domain, content-based im age retrieval can be used in patient digital libraries, clinical diagnosis, searching of 2-D electrophoresis gels, and pathology slides. I started my work on content-based image retrieval in 1995 when I was with Stanford University. The project was initiated by the Stan ford University Libraries and later funded by a research grant from the National Science Foundation. The goal was to design and implement a computer system capable of indexing and retrieving large collections of digitized multimedia data available in the libraries based on the media contents. At the time, it seemed reasonable to me that I should discover the solution to the image retrieval problem during the project. Experi ence has certainly demonstrated how far we are as yet from solving this basic problem.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 196 pp. Englisch.

Language: English
Published by Springer US, Springer US Mai 2001, 2001
Series: The Information Retrieval, Book 26 of 42. Book 26 of 42 - The Information Retrieval
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Content-based image retrieval is the set of techniques for retrieving relevant images from an image database on the basis of automatically derived image features. The need for efficient content-based image re trieval has increased tremendously… in many application areas such as biomedicine, the military, commerce, education, and Web image clas sification and searching. In the biomedical domain, content-based im age retrieval can be used in patient digital libraries, clinical diagnosis, searching of 2-D electrophoresis gels, and pathology slides. I started my work on content-based image retrieval in 1995 when I was with Stanford University. The project was initiated by the Stan ford University Libraries and later funded by a research grant from the National Science Foundation. The goal was to design and implement a computer system capable of indexing and retrieving large collections of digitized multimedia data available in the libraries based on the media contents. At the time, it seemed reasonable to me that I should discover the solution to the image retrieval problem during the project. Experi ence has certainly demonstrated how far we are as yet from solving this basic problem.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 196 pp. Englisch.

Language: English
Published by Springer US Mai 2001, 2001
Series: The Information Retrieval, Book 26 of 42. Book 26 of 42 - The Information Retrieval
- Hardcover
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Content-based image retrieval is the set of techniques for retrieving relevant images from an image database on the basis of automatically derived image features. The need for efficient content-based image re trieval has increased tremendo…usly in many application areas such as biomedicine, the military, commerce, education, and Web image clas sification and searching. In the biomedical domain, content-based im age retrieval can be used in patient digital libraries, clinical diagnosis, searching of 2-D electrophoresis gels, and pathology slides. I started my work on content-based image retrieval in 1995 when I was with Stanford University. The project was initiated by the Stan ford University Libraries and later funded by a research grant from the National Science Foundation. The goal was to design and implement a computer system capable of indexing and retrieving large collections of digitized multimedia data available in the libraries based on the media contents. At the time, it seemed reasonable to me that I should discover the solution to the image retrieval problem during the project. Experi ence has certainly demonstrated how far we are as yet from solving this basic problem. 196 pp. Englisch.