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

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Remco Veltkamp, Hans Burkhardt, Hans-Peter Kriegel
Springer Science & Business Media, Oct 31, 2001 - Computers - 345 pages
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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.
 

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Contents

IMAGE CONTENT ANALYSIS AND DESCRIPTION
1
LOCAL FEATURES FOR IMAGE RETRIEVAL
21
FAST INVARIANT FEATURE EXTRACTION FOR IMAGE RETRIEVAL
43
SHAPE DESCRIPTION AND SEARCH FOR SIMILAR OBJECTS IN IMAGE DATABASES
69
FEATURES IN CONTENTBASED IMAGE RETRIEVAL SYSTEMS A SURVEY
97
PROBABILISTIC IMAGE MODELS FOR OBJECT RECOGNITION AND POSE ESTIMATION
125
DISTRIBUTIONBASED IMAGE SIMILARITY
143
DISTRIBUTIONFREE STATISTICS FOR SEGMENTATION Wielding Occams Razor
165
INFORMATION RETRIEVAL METHODS FOR MULTIMEDIA OBJECTS
191
NEW DESCRIPTORS FOR IMAGE AND VIDEO INDEXING
213
FACIAL AND MOTION ANALYSIS FOR IMAGE AND VIDEO RETRIEVAL
235
ASYMMETRIC SIMILARITY MEASURES FOR VIDEO SUMMARISATION
255
VIDEO RETRIEVAL USING SEMANTIC DATA
279
ADAPTABLE SIMILARITY SEARCH IN LARGE IMAGE DATABASES
297
PARALLEL NNSEARCH FOR LARGE MULTIMEDIA REPOSITORIES
319
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