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State-of-the-Art in Content-Based Image and Video Retrieval
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State-of-the-Art in Content-Based Image and Video Retrieval - nieuw boek

ISBN: 9781402001093

Images and video play a crucial role in visual information systems and multimedia. There is an extraordinary number of applications of such systems in entertainment, business, art, engine… Meer...

Nr. 978-1-4020-0109-3. Verzendingskosten:Worldwide free shipping, , DE. (EUR 0.00)
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State-of-the-Art in Content-Based Image and Video Retrieval (Computational Imaging and Vision, 22, Band 22)
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State-of-the-Art in Content-Based Image and Video Retrieval (Computational Imaging and Vision, 22, Band 22) - gebonden uitgave, pocketboek

2001, ISBN: 9781402001093

Springer, Gebundene Ausgabe, Auflage: 2001, 354 Seiten, Publiziert: 2001-10-31T00:00:01Z, Produktgruppe: Buch, 1.49 kg, Datenbanken, Computer & Internet, Kategorien, Bücher, Grafik & Mult… Meer...

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State-of-the-Art in Content-Based Image and Video Retrieval - Veltkamp, Remco C. Burkhardt, Hans Kriegel, Hans-Peter
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2001

ISBN: 9781402001093

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[ED: Gebunden], [PU: Springer Netherlands], Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Images and video play a crucial role in visual… Meer...

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State-of-the-Art in Content-Based Image and Video Retrieval - 1st Edition (eBook Rental) - nieuw boek

ISBN: 9781402001093

1st Edition, by Hans Burkhardt; HansPeter Kriegel; Remco C. Veltkamp, PRINT ISBN: 9781402001093 E-TEXT ISBN: 9789401596640 Springer Nature eBook Other pricing structure might be available… Meer...

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State-of-the-Art in Content-Based Image and Video Retrieval - Remco C. Veltkamp; Hans Burkhardt; Hans-Peter Kriegel
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Remco C. Veltkamp; Hans Burkhardt; Hans-Peter Kriegel:
State-of-the-Art in Content-Based Image and Video Retrieval - gebonden uitgave, pocketboek

2001, ISBN: 9781402001093

Buch, Hardcover, 2001 ed. [PU: Springer-Verlag New York Inc.], Springer-Verlag New York Inc., 2001

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Bibliografische gegevens van het best passende boek

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State-of-the-Art in Content-Based Image and Video Retrieval

Images and video play a crucial role in visual information systems and multimedia. There is an extraordinary number of applications of such systems in entertainment, business, art, engineering, and science. Such applications often involved large image and video collections, and therefore, searching for images and video in large collections is becoming an important operation. Because of the size of such databases, efficiency is crucial. We strongly believe that image and video retrieval need an integrated approach from fields such as image processing, shape processing, perception, database indexing, visualization, and querying, etc. This book contains a selection of results that was presented at the Dagstuhl Seminar on Content-Based Image and Video Retrieval, in December 1999. The purpose of this seminar was to bring together people from the various fields, in order to promote information exchange and interaction among researchers who are interested in various aspects of accessing the content of image and video data. The book provides an overview of the state of the art in content-based image and video retrieval. The topics covered by the chapters are integrated system aspects, as well as techniques from image processing, computer vision, multimedia, databases, graphics, signal processing, and information theory. The book will be of interest to researchers and professionals in the fields of multimedia, visual information (database) systems, computer vision, and information retrieval.

Gedetalleerde informatie over het boek. - State-of-the-Art in Content-Based Image and Video Retrieval


EAN (ISBN-13): 9781402001093
ISBN (ISBN-10): 1402001096
Gebonden uitgave
pocket book
Verschijningsjaar: 2001
Uitgever: Springer-Verlag New York Inc.
356 Bladzijden
Gewicht: 0,757 kg
Taal: eng/Englisch

Boek bevindt zich in het datenbestand sinds 2007-05-29T11:32:01+02:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2023-12-25T22:09:27+01:00 (Amsterdam)
ISBN/EAN: 9781402001093

ISBN - alternatieve schrijfwijzen:
1-4020-0109-6, 978-1-4020-0109-3
alternatieve schrijfwijzen en verwante zoekwoorden:
Auteur van het boek: burkhardt peter, burkhardt hans, kriegel, peters remco, peter krieg, burkhard peter, video state the art
Titel van het boek: the state the art, image video retrieval, computational vision, think content, zero art, art for all, the new art, the state and the, art vidéo


Gegevens van de uitgever

Auteur: Remco C. Veltkamp; Hans Burkhardt; Hans-Peter Kriegel
Titel: Computational Imaging and Vision; State-of-the-Art in Content-Based Image and Video Retrieval
Uitgeverij: Springer; Springer Netherland
345 Bladzijden
Verschijningsjaar: 2001-10-31
Dordrecht; NL
Taal: Engels
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
Available
IX, 345 p.

BB; Hardcover, Softcover / Informatik, EDV/Anwendungs-Software; Grafische und digitale Media-Anwendungen; Verstehen; computer vision; database; graphics; image databases; image processing; information; information retrieval; information system; information theory; multimedia; object recognition; video; visualization; Multimedia Information Systems; Information Storage and Retrieval; Data Structures and Information Theory; Computer Imaging, Vision, Pattern Recognition and Graphics; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Algorithmen und Datenstrukturen; Informationstheorie; Bildverarbeitung; BC; EA

1 Image Content Analysis and Description.- 2 Local Features for Image Retrieval.- 3 Fast Invariant Feature Extraction for Image Retrieval.- 4 Shape Description and Search for Similar Objects in Image Databases.- 5 Features in Content-based Image Retrieval Systems: a Survey.- 6 Probablistic Image Models for Object Recognition and Pose Estimation.- 7 Distribution-based Image Similarity.- 8 Distribution Free Statistics for Segmentation.- 9 Information Retrieval Methods for Multimedia Objects.- 10 New descriptors for image and video indexing.- 11 Facial and Motion Analysis for Image and Video Retrieval.- 12 Asymmetric Similarity Measures for Video Summarisation.- 13 Video Retrieval using Semantic Data.- 14 Adaptable Similarity Search in Large Image Databases.- 15 Parallel NN-search for large multimedia repositories.

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