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

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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 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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