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.
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Inside This Book
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First Sentence:
The large volume and variety of digital images currently acquired and used in different application domains has given rise to the requirement for intelligent image management and retrieval techniques. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
maximal convex arcs, significant visual parts, discrete curve evolution, shape similarity measure, affinely invariant regions, anchorperson shots, probabilistic datalog, serial fraction, query image, hue histogram, image retrieval systems, visual descriptors, video retrieval, colour histograms, feature histograms, salient regions, sorted row, open world assumption, digitization noise, maximum speedup, region correspondences, visual information systems, deterministic calculation, video indexing, retrieved images Key Phrases - Capitalized Phrases (CAPs): (learn more)
Kluwer Academic Publishers, New York, International Conference, Management of Data, Del Bimbo, Cramer-von Mises, John Wiley, Longin Jan Latecki, Mirela Tanase, San Jose, European Conference, Monte Carlo, Moo Mot, Very Large Data Bases, Mlo Mot, Springer Verlag, Academic Press, Cognitive Psychology, German Research Foundation, Occam's Razor Version, Querying Querying, Santa Barbara, University of California, Visual Database Systems New!
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The large volume and variety of digital images currently acquired and used in different application domains has given rise to the requirement for intelligent image management and retrieval techniques. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
maximal convex arcs, significant visual parts, discrete curve evolution, shape similarity measure, affinely invariant regions, anchorperson shots, probabilistic datalog, serial fraction, query image, hue histogram, image retrieval systems, visual descriptors, video retrieval, colour histograms, feature histograms, salient regions, sorted row, open world assumption, digitization noise, maximum speedup, region correspondences, visual information systems, deterministic calculation, video indexing, retrieved images Key Phrases - Capitalized Phrases (CAPs): (learn more)
Kluwer Academic Publishers, New York, International Conference, Management of Data, Del Bimbo, Cramer-von Mises, John Wiley, Longin Jan Latecki, Mirela Tanase, San Jose, European Conference, Monte Carlo, Moo Mot, Very Large Data Bases, Mlo Mot, Springer Verlag, Academic Press, Cognitive Psychology, German Research Foundation, Occam's Razor Version, Querying Querying, Santa Barbara, University of California, Visual Database Systems New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
Citations (learn more)
This book cites 59
books:
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3
books
cite this book:
- Principles of Visual Information Retrieval (Advances in Computer Vision and Pattern Recognition) by Michael S. Lew on page 24, and page 128
- Scale-Space Theory in Computer Vision (The Springer International Series in Engineering and Computer Science) by Tony Lindeberg on page 23, and page 233
- Pattern Classification (2nd Edition) by Richard O. Duda on page 145, and page 192
- Pattern Classification and Scene Analysis by Richard O. Duda on page 145, and page 192
- Computer Science (Watts Library) by Robert L. Perry on page 23
See all 59 books this book cites
- Pattern Recognition: 23rd DAGM Symposium, Munich, Germany, September 12-14, 2001. Proceedings (Lecture Notes in Computer Science) by Bernd Radig on page 16
- Financial Cryptography and Data Security: 9th International Conference, FC 2005, Roseau, The Commonwealth Of Dominica, February 28 - March 3, 2005, ... Computer Science / Security and Cryptology) by Andrew S. Patrick on page 454
- Mining Multimedia and Complex Data: KDD Workshop MDM/KDD 2002, PAKDD Workshop KDMCD 2002, Revised Papers (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) by Osmar R. Zaiane on page 99
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