State-of-the-Art in Content-Based Image and Video Retrieval
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Author
Contributions
- Burkhardt, Hans - Contributor
- Kriegel, Hans-Peter - Contributor
Publication
2001 - Springer Netherlands, Dordrecht, Netherlands
Language
English
Word Count
86,250 words, Guess
Page Count
345 pages
Physical Format
Electronic resource
Identifiers
- Internet Archivestateoftheartcon00zabu
- ISBN-10904815863X
- ISBN-109401596646
- ISBN-139789048158638
- ISBN-139789401596640
and 4 more
- OCLC Control Number851381705
- Better World Books9789048158638
- Better World Books9789401596640
- Open LibraryOL27089075M
Classifications
- DDC006.7
- LCCQA76.575
- LCCQA76.575QA75.5-76.95
Description
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.
Subjects
Series Statement
- Computational Imaging and Vision -- 22
Other Editions
- State-of-the-Art in Content-Based Image and Video Retrieval
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