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State-of-the-Art in Content-Based Image and Video Retrieval : Computational Imaging and Vision - Remco C. Veltkamp

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

Computational Imaging and Vision

By: Remco C. Veltkamp (Editor), Hans Burkhardt (Editor), Hans-Peter Kriegel (Editor)

Hardcover

Published: 31st October 2001
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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, 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.

Preface
Image Content Analysis and Descriptionp. 1
Local Features for Image Retrievalp. 21
Fast Invariant Feature Extraction for Image Retrievalp. 43
Shape Description and Search for Similar Objects in Image Databasesp. 69
Features in Content-based Image Retrieval Systems: a Surveyp. 97
Probabilistic Image Models for Object Recognition and Pose Estimationp. 125
Distribution-based Image Similarityp. 143
Distribution Free Statistics for Segmentationp. 165
Information Retrieval Methods for Multimedia Objectsp. 191
New descriptors for image and video indexingp. 213
Facial and Motion Analysis for Image and Video Retrievalp. 235
Asymmetric Similarity Measures for Video Summarisationp. 255
Video Retrieval using Semantic Datap. 279
Adaptable Similarity Search in Large Image Databasesp. 297
Parallel NN-search for large multimedia repositoriesp. 319
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9781402001093
ISBN-10: 1402001096
Series: Computational Imaging and Vision
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 345
Published: 31st October 2001
Publisher: Springer-Verlag New York Inc.
Country of Publication: US
Dimensions (cm): 24.0 x 16.0  x 1.91
Weight (kg): 1.49