Integrated Region-Based Image Retrieval:
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 mil...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer US
2001
|
| Ausgabe: | 1st ed. 2001 |
| Schriftenreihe: | The Information Retrieval Series
11 |
| Schlagworte: | |
| Online-Zugang: | UBY01 URL des Eerstveröffentlichers |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 Online-Ressource (XIV, 178 p) |
| ISBN: | 9781461516415 |
| DOI: | 10.1007/978-1-4615-1641-5 |
Internformat
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| 520 | |a 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 | ||
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Datensatz im Suchindex
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| edition | 1st ed. 2001 |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:12:22Z |
| indexdate | 2024-07-10T09:01:34Z |
| institution | BVB |
| isbn | 9781461516415 |
| language | English |
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| spelling | Wang, James Z. Verfasser aut Integrated Region-Based Image Retrieval by James Z. Wang 1st ed. 2001 New York, NY Springer US 2001 1 Online-Ressource (XIV, 178 p) txt rdacontent c rdamedia cr rdacarrier The Information Retrieval Series 11 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 Information Storage and Retrieval Data Structures and Information Theory The Computing Profession Image Processing and Computer Vision Information storage and retrieval Data structures (Computer science) Computers Optical data processing Information-Retrieval-System (DE-588)4670557-0 gnd rswk-swf Bildbanksystem (DE-588)4145396-7 gnd rswk-swf Bildbanksystem (DE-588)4145396-7 s Information-Retrieval-System (DE-588)4670557-0 s DE-604 Erscheint auch als Druck-Ausgabe 9780792373506 Erscheint auch als Druck-Ausgabe 9781461516422 Erscheint auch als Druck-Ausgabe 9781461356554 https://doi.org/10.1007/978-1-4615-1641-5 Verlag URL des Eerstveröffentlichers Volltext |
| spellingShingle | Wang, James Z. Integrated Region-Based Image Retrieval Information Storage and Retrieval Data Structures and Information Theory The Computing Profession Image Processing and Computer Vision Information storage and retrieval Data structures (Computer science) Computers Optical data processing Information-Retrieval-System (DE-588)4670557-0 gnd Bildbanksystem (DE-588)4145396-7 gnd |
| subject_GND | (DE-588)4670557-0 (DE-588)4145396-7 |
| title | Integrated Region-Based Image Retrieval |
| title_auth | Integrated Region-Based Image Retrieval |
| title_exact_search | Integrated Region-Based Image Retrieval |
| title_exact_search_txtP | Integrated Region-Based Image Retrieval |
| title_full | Integrated Region-Based Image Retrieval by James Z. Wang |
| title_fullStr | Integrated Region-Based Image Retrieval by James Z. Wang |
| title_full_unstemmed | Integrated Region-Based Image Retrieval by James Z. Wang |
| title_short | Integrated Region-Based Image Retrieval |
| title_sort | integrated region based image retrieval |
| topic | Information Storage and Retrieval Data Structures and Information Theory The Computing Profession Image Processing and Computer Vision Information storage and retrieval Data structures (Computer science) Computers Optical data processing Information-Retrieval-System (DE-588)4670557-0 gnd Bildbanksystem (DE-588)4145396-7 gnd |
| topic_facet | Information Storage and Retrieval Data Structures and Information Theory The Computing Profession Image Processing and Computer Vision Information storage and retrieval Data structures (Computer science) Computers Optical data processing Information-Retrieval-System Bildbanksystem |
| url | https://doi.org/10.1007/978-1-4615-1641-5 |
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