Content-Based Video Retrieval: A Database Perspective
The area of content-based video retrieval is a very hot area both for research and for commercial applications. In order to design effective video databases for applications such as digital libraries, video production, and a variety of Internet applications, there is a great need to develop effectiv...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer US
2004
|
| Ausgabe: | 1st ed. 2004 |
| Schriftenreihe: | Multimedia Systems and Applications
25 |
| Schlagworte: | |
| Online-Zugang: | UBY01 URL des Eerstveröffentlichers |
| Zusammenfassung: | The area of content-based video retrieval is a very hot area both for research and for commercial applications. In order to design effective video databases for applications such as digital libraries, video production, and a variety of Internet applications, there is a great need to develop effective techniques for content-based video retrieval. One of the main issues in this area of research is how to bridge the semantic gap between low-Ievel features extracted from a video (such as color, texture, shape, motion, and others) and semantics that describe video concept on a higher level. In this book, Dr. Milan Petkovi6 and Prof. Dr. Willem Jonker have addressed this issue by developing and describing several innovative techniques to bridge the semantic gap. The main contribution of their research, which is the core of the book, is the development of three techniques for bridging the semantic gap: (1) a technique that uses the spatio-temporal extension of the Cobra framework, (2) a technique based on hidden Markov models, and (3) a technique based on Bayesian belief networks. To evaluate performance of these techniques, the authors have conducted a number of experiments using real video data. The book also discusses domains solutions versus general solution of the problem. Petkovi6 and Jonker proposed a solution that allows a system to be applied in multiple domains with minimal adjustments. They also designed and described a prototype video database management system, which is based on techniques they proposed in the book |
| Beschreibung: | 1 Online-Ressource (XI, 151 p) |
| ISBN: | 9781475748659 |
| DOI: | 10.1007/978-1-4757-4865-9 |
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| 520 | |a The area of content-based video retrieval is a very hot area both for research and for commercial applications. In order to design effective video databases for applications such as digital libraries, video production, and a variety of Internet applications, there is a great need to develop effective techniques for content-based video retrieval. One of the main issues in this area of research is how to bridge the semantic gap between low-Ievel features extracted from a video (such as color, texture, shape, motion, and others) and semantics that describe video concept on a higher level. In this book, Dr. Milan Petkovi6 and Prof. Dr. Willem Jonker have addressed this issue by developing and describing several innovative techniques to bridge the semantic gap. The main contribution of their research, which is the core of the book, is the development of three techniques for bridging the semantic gap: (1) a technique that uses the spatio-temporal extension of the Cobra framework, (2) a technique based on hidden Markov models, and (3) a technique based on Bayesian belief networks. To evaluate performance of these techniques, the authors have conducted a number of experiments using real video data. The book also discusses domains solutions versus general solution of the problem. Petkovi6 and Jonker proposed a solution that allows a system to be applied in multiple domains with minimal adjustments. They also designed and described a prototype video database management system, which is based on techniques they proposed in the book | ||
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| author | Petkovic, Milan Jonker, Willem |
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| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.1007/978-1-4757-4865-9 |
| edition | 1st ed. 2004 |
| format | Electronic eBook |
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| index_date | 2024-07-03T16:12:23Z |
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| institution | BVB |
| isbn | 9781475748659 |
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| spelling | Petkovic, Milan Verfasser aut Content-Based Video Retrieval A Database Perspective by Milan Petkovic, Willem Jonker 1st ed. 2004 New York, NY Springer US 2004 1 Online-Ressource (XI, 151 p) txt rdacontent c rdamedia cr rdacarrier Multimedia Systems and Applications 25 The area of content-based video retrieval is a very hot area both for research and for commercial applications. In order to design effective video databases for applications such as digital libraries, video production, and a variety of Internet applications, there is a great need to develop effective techniques for content-based video retrieval. One of the main issues in this area of research is how to bridge the semantic gap between low-Ievel features extracted from a video (such as color, texture, shape, motion, and others) and semantics that describe video concept on a higher level. In this book, Dr. Milan Petkovi6 and Prof. Dr. Willem Jonker have addressed this issue by developing and describing several innovative techniques to bridge the semantic gap. The main contribution of their research, which is the core of the book, is the development of three techniques for bridging the semantic gap: (1) a technique that uses the spatio-temporal extension of the Cobra framework, (2) a technique based on hidden Markov models, and (3) a technique based on Bayesian belief networks. To evaluate performance of these techniques, the authors have conducted a number of experiments using real video data. The book also discusses domains solutions versus general solution of the problem. Petkovi6 and Jonker proposed a solution that allows a system to be applied in multiple domains with minimal adjustments. They also designed and described a prototype video database management system, which is based on techniques they proposed in the book Data Structures and Information Theory Computer Imaging, Vision, Pattern Recognition and Graphics Information Storage and Retrieval Multimedia Information Systems Data structures (Computer science) Optical data processing Information storage and retrieval Multimedia information systems Desktop video (DE-588)4234999-0 gnd rswk-swf Information Retrieval (DE-588)4072803-1 gnd rswk-swf Datenbank (DE-588)4011119-2 gnd rswk-swf Information Retrieval (DE-588)4072803-1 s DE-604 Desktop video (DE-588)4234999-0 s Datenbank (DE-588)4011119-2 s Jonker, Willem aut Erscheint auch als Druck-Ausgabe 9781441953964 Erscheint auch als Druck-Ausgabe 9781402076176 Erscheint auch als Druck-Ausgabe 9781475748666 https://doi.org/10.1007/978-1-4757-4865-9 Verlag URL des Eerstveröffentlichers Volltext |
| spellingShingle | Petkovic, Milan Jonker, Willem Content-Based Video Retrieval A Database Perspective Data Structures and Information Theory Computer Imaging, Vision, Pattern Recognition and Graphics Information Storage and Retrieval Multimedia Information Systems Data structures (Computer science) Optical data processing Information storage and retrieval Multimedia information systems Desktop video (DE-588)4234999-0 gnd Information Retrieval (DE-588)4072803-1 gnd Datenbank (DE-588)4011119-2 gnd |
| subject_GND | (DE-588)4234999-0 (DE-588)4072803-1 (DE-588)4011119-2 |
| title | Content-Based Video Retrieval A Database Perspective |
| title_auth | Content-Based Video Retrieval A Database Perspective |
| title_exact_search | Content-Based Video Retrieval A Database Perspective |
| title_exact_search_txtP | Content-Based Video Retrieval A Database Perspective |
| title_full | Content-Based Video Retrieval A Database Perspective by Milan Petkovic, Willem Jonker |
| title_fullStr | Content-Based Video Retrieval A Database Perspective by Milan Petkovic, Willem Jonker |
| title_full_unstemmed | Content-Based Video Retrieval A Database Perspective by Milan Petkovic, Willem Jonker |
| title_short | Content-Based Video Retrieval |
| title_sort | content based video retrieval a database perspective |
| title_sub | A Database Perspective |
| topic | Data Structures and Information Theory Computer Imaging, Vision, Pattern Recognition and Graphics Information Storage and Retrieval Multimedia Information Systems Data structures (Computer science) Optical data processing Information storage and retrieval Multimedia information systems Desktop video (DE-588)4234999-0 gnd Information Retrieval (DE-588)4072803-1 gnd Datenbank (DE-588)4011119-2 gnd |
| topic_facet | Data Structures and Information Theory Computer Imaging, Vision, Pattern Recognition and Graphics Information Storage and Retrieval Multimedia Information Systems Data structures (Computer science) Optical data processing Information storage and retrieval Multimedia information systems Desktop video Information Retrieval Datenbank |
| url | https://doi.org/10.1007/978-1-4757-4865-9 |
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