Intelligent Image Databases: Towards Advanced Image Retrieval
Intelligent Image Databases: Towards Advanced Image Retrieval addresses the image feature selection issue in developing content-based image retrieval systems. The book first discusses the four important issues in developing a complete content-based image retrieval system, and then demonstrates that...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Boston, MA
Springer US
1998
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Schriftenreihe: | The Springer International Series in Engineering and Computer Science
421 |
Schlagworte: | |
Online-Zugang: | BTU01 Volltext |
Zusammenfassung: | Intelligent Image Databases: Towards Advanced Image Retrieval addresses the image feature selection issue in developing content-based image retrieval systems. The book first discusses the four important issues in developing a complete content-based image retrieval system, and then demonstrates that image feature selection has significant impact on the remaining issues of system design. Next, it presents an in-depth literature survey on typical image features explored by contemporary content-based image retrieval systems for image matching and retrieval purposes. The goal of the survey is to determine the characteristics and the effectiveness of individual features, so as to establish guidelines for future development of content-based image retrieval systems. Intelligent Image Databases: Towards Advanced Image Retrieval describes the Advanced Region-Based Image Retrieval System (ARBIRS) developed by the authors for color images of real-world scenes. They have selected image regions for building ARBIRS as the literature survey suggests that prominent image regions, along with their associated features, provide a higher probability for achieving a higher level content-based image retrieval system. A major challenge in building a region-based image retrieval system is that prominent regions are rather difficult to capture in an accurate and error-free condition, particularly those in images of real-world scenes. To meet this challenge, the book proposes an integrated approach to tackle the problem via feature capturing, feature indexing, and database query. Through comprehensive system evaluation, it is demonstrated how these systematically integrated efforts work effectively to accomplish advanced image retrieval. Intelligent Image Databases: Towards Advanced Image Retrieval serves as an excellent reference and may be used as a text for advanced courses on the topic |
Beschreibung: | 1 Online-Ressource (XV, 134 p) |
ISBN: | 9781461554790 |
DOI: | 10.1007/978-1-4615-5479-0 |
Internformat
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490 | 0 | |a The Springer International Series in Engineering and Computer Science |v 421 | |
520 | |a Intelligent Image Databases: Towards Advanced Image Retrieval addresses the image feature selection issue in developing content-based image retrieval systems. The book first discusses the four important issues in developing a complete content-based image retrieval system, and then demonstrates that image feature selection has significant impact on the remaining issues of system design. Next, it presents an in-depth literature survey on typical image features explored by contemporary content-based image retrieval systems for image matching and retrieval purposes. The goal of the survey is to determine the characteristics and the effectiveness of individual features, so as to establish guidelines for future development of content-based image retrieval systems. Intelligent Image Databases: Towards Advanced Image Retrieval describes the Advanced Region-Based Image Retrieval System (ARBIRS) developed by the authors for color images of real-world scenes. They have selected image regions for building ARBIRS as the literature survey suggests that prominent image regions, along with their associated features, provide a higher probability for achieving a higher level content-based image retrieval system. A major challenge in building a region-based image retrieval system is that prominent regions are rather difficult to capture in an accurate and error-free condition, particularly those in images of real-world scenes. To meet this challenge, the book proposes an integrated approach to tackle the problem via feature capturing, feature indexing, and database query. Through comprehensive system evaluation, it is demonstrated how these systematically integrated efforts work effectively to accomplish advanced image retrieval. Intelligent Image Databases: Towards Advanced Image Retrieval serves as an excellent reference and may be used as a text for advanced courses on the topic | ||
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650 | 4 | |a Multimedia Information Systems | |
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650 | 4 | |a Image Processing and Computer Vision | |
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Datensatz im Suchindex
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any_adam_object | |
author | Gong, Yihong |
author_facet | Gong, Yihong |
author_role | aut |
author_sort | Gong, Yihong |
author_variant | y g yg |
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collection | ZDB-2-ENG |
ctrlnum | (ZDB-2-ENG)978-1-4615-5479-0 (OCoLC)1185093340 (DE-599)BVBBV045187181 |
dewey-full | 006.7 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.7 |
dewey-search | 006.7 |
dewey-sort | 16.7 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
doi_str_mv | 10.1007/978-1-4615-5479-0 |
format | Electronic eBook |
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id | DE-604.BV045187181 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:10:59Z |
institution | BVB |
isbn | 9781461554790 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030576359 |
oclc_num | 1185093340 |
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owner_facet | DE-634 |
physical | 1 Online-Ressource (XV, 134 p) |
psigel | ZDB-2-ENG ZDB-2-ENG_Archiv ZDB-2-ENG ZDB-2-ENG_Archiv |
publishDate | 1998 |
publishDateSearch | 1998 |
publishDateSort | 1998 |
publisher | Springer US |
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series2 | The Springer International Series in Engineering and Computer Science |
spelling | Gong, Yihong Verfasser aut Intelligent Image Databases Towards Advanced Image Retrieval by Yihong Gong Boston, MA Springer US 1998 1 Online-Ressource (XV, 134 p) txt rdacontent c rdamedia cr rdacarrier The Springer International Series in Engineering and Computer Science 421 Intelligent Image Databases: Towards Advanced Image Retrieval addresses the image feature selection issue in developing content-based image retrieval systems. The book first discusses the four important issues in developing a complete content-based image retrieval system, and then demonstrates that image feature selection has significant impact on the remaining issues of system design. Next, it presents an in-depth literature survey on typical image features explored by contemporary content-based image retrieval systems for image matching and retrieval purposes. The goal of the survey is to determine the characteristics and the effectiveness of individual features, so as to establish guidelines for future development of content-based image retrieval systems. Intelligent Image Databases: Towards Advanced Image Retrieval describes the Advanced Region-Based Image Retrieval System (ARBIRS) developed by the authors for color images of real-world scenes. They have selected image regions for building ARBIRS as the literature survey suggests that prominent image regions, along with their associated features, provide a higher probability for achieving a higher level content-based image retrieval system. A major challenge in building a region-based image retrieval system is that prominent regions are rather difficult to capture in an accurate and error-free condition, particularly those in images of real-world scenes. To meet this challenge, the book proposes an integrated approach to tackle the problem via feature capturing, feature indexing, and database query. Through comprehensive system evaluation, it is demonstrated how these systematically integrated efforts work effectively to accomplish advanced image retrieval. Intelligent Image Databases: Towards Advanced Image Retrieval serves as an excellent reference and may be used as a text for advanced courses on the topic Computer Science Multimedia Information Systems Data Structures, Cryptology and Information Theory Information Storage and Retrieval Image Processing and Computer Vision Computer science Data structures (Computer science) Information storage and retrieval Multimedia information systems Image processing Visuelles Datenbanksystem (DE-588)4373475-3 gnd rswk-swf Visuelles Datenbanksystem (DE-588)4373475-3 s 1\p DE-604 Erscheint auch als Druck-Ausgabe 9781461375036 https://doi.org/10.1007/978-1-4615-5479-0 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Gong, Yihong Intelligent Image Databases Towards Advanced Image Retrieval Computer Science Multimedia Information Systems Data Structures, Cryptology and Information Theory Information Storage and Retrieval Image Processing and Computer Vision Computer science Data structures (Computer science) Information storage and retrieval Multimedia information systems Image processing Visuelles Datenbanksystem (DE-588)4373475-3 gnd |
subject_GND | (DE-588)4373475-3 |
title | Intelligent Image Databases Towards Advanced Image Retrieval |
title_auth | Intelligent Image Databases Towards Advanced Image Retrieval |
title_exact_search | Intelligent Image Databases Towards Advanced Image Retrieval |
title_full | Intelligent Image Databases Towards Advanced Image Retrieval by Yihong Gong |
title_fullStr | Intelligent Image Databases Towards Advanced Image Retrieval by Yihong Gong |
title_full_unstemmed | Intelligent Image Databases Towards Advanced Image Retrieval by Yihong Gong |
title_short | Intelligent Image Databases |
title_sort | intelligent image databases towards advanced image retrieval |
title_sub | Towards Advanced Image Retrieval |
topic | Computer Science Multimedia Information Systems Data Structures, Cryptology and Information Theory Information Storage and Retrieval Image Processing and Computer Vision Computer science Data structures (Computer science) Information storage and retrieval Multimedia information systems Image processing Visuelles Datenbanksystem (DE-588)4373475-3 gnd |
topic_facet | Computer Science Multimedia Information Systems Data Structures, Cryptology and Information Theory Information Storage and Retrieval Image Processing and Computer Vision Computer science Data structures (Computer science) Information storage and retrieval Multimedia information systems Image processing Visuelles Datenbanksystem |
url | https://doi.org/10.1007/978-1-4615-5479-0 |
work_keys_str_mv | AT gongyihong intelligentimagedatabasestowardsadvancedimageretrieval |