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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… Plus…

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

Informations détaillées sur le livre - State-of-the-Art in Content-Based Image and Video Retrieval


EAN (ISBN-13): 9781402001093
ISBN (ISBN-10): 1402001096
Version reliée
Livre de poche
Date de parution: 2001
Editeur: Springer-Verlag New York Inc.
356 Pages
Poids: 0,757 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2007-05-29T11:32:01+02:00 (Paris)
Page de détail modifiée en dernier sur 2023-12-25T22:09:27+01:00 (Paris)
ISBN/EAN: 9781402001093

ISBN - Autres types d'écriture:
1-4020-0109-6, 978-1-4020-0109-3
Autres types d'écriture et termes associés:
Auteur du livre: burkhardt peter, burkhardt hans, kriegel, peters remco, peter krieg, burkhard peter, video state the art
Titre du livre: 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

Données de l'éditeur

Auteur: Remco C. Veltkamp; Hans Burkhardt; Hans-Peter Kriegel
Titre: Computational Imaging and Vision; State-of-the-Art in Content-Based Image and Video Retrieval
Editeur: Springer; Springer Netherland
345 Pages
Date de parution: 2001-10-31
Dordrecht; NL
Langue: Anglais
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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