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State-Of-The-Art in Content-Based Image and Video Retrieval

Author(s): Veltkamp, Remco C.; Burkhardt, Hans; Kriegel, Hans-Peter; Veltkamp, Remco C.; Dagstuhl Seminar on Content-Based Image and Video Retrieval (1999)
ISBN10: 1402001096
ISBN13: 9781402001093
Cover: Hardcover
 
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SummaryTable of Contents
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.

Contains a selection of results that was presented at the Dagstuhl Seminar on Content-Based and Video Retrieval, in December 1999. Of interest to researchers and professionals in the fields of multimedia, visual information systems, computer vision, and information retrieval.
Preface vii
Image Content Analysis and Description
1(20)
Xenophon Zabulis
Stelios C. Orphanoudakis
Local Features for Image Retrieval
21(22)
Luc Van Gool
Tinne Tuytelaars
Andreas Turina
Fast Invariant Feature Extraction for Image Retrieval
43(26)
Sven Siggelkow
Hans Burkhardt
Shape Description and Search for Similar Objects in Image Databases
69(28)
Longin Jan Latecki
Rolf Lakamper
Features in Content-based Image Retrieval Systems: a Survey
97(28)
Remco C. Veltkamp
Mirela Tanase
Danielle Sent
Probablistic Image Models for Object Recognition and Pose Estimation
125(18)
Joachim Hornegger
Heinrich Niemann
Distribution-based Image Similarity
143(22)
Jan Puzicha
Distribution Free Statistics for Segmentation
165(26)
Greet Frederix
Eric J. Pauwels
Information Retrieval Methods for Multimedia Objects
191(22)
Norbert Fuhr
New descriptors for image and video indexing
213(22)
Patrick Gros
Ronan Fablet
Patrick Bouthemy
Facial and Motion Analysis for Image and Video Retrieval
235(20)
Massimo Tistarelli
Enrico Grosso
Asymmetric Similarity Measures for Video Summarisation
255(24)
Sorin M. Iacob
Reginald L. Lagendijk
M. E. Iacob
Video Retrieval using Semantic Data
279(18)
Alberto Del Bimbo
Adaptable Similarity Search in Large Image Databases
297(22)
Thomas Seidl
Hans-Peter Kriegel
Parallel NN-search for large multimedia repositories
319
Roger Weber
Klemens Bohm
Hans-Jorg Schek

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