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

1. Front Matter

   Pages i-ix

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2. Image Content Analysis and Description

   • Xenophon Zabulis, Stelios C. Orphanoudakis

   Pages 1-19

3. Local Features for Image Retrieval

   • Luc Van Gool, Tinne Tuytelaars, Andreas Turina

   Pages 21-41

4. Fast Invariant Feature Extraction for Image Retrieval

   • Sven Siggelkow, Hans Burkhardt

   Pages 43-68

5. Shape Description and Search for Similar Objects in Image Databases

   • Longin Jan Latecki, Rolf Lakämper

   Pages 69-95

6. Features in Content-Based Image Retrieval Systems: A Survey

   • Remco C. Veltkamp, Mirela Tanase, Danielle Sent

   Pages 97-124

7. Probabilistic Image Models for Object Recognition and Pose Estimation

   • Joachim Hornegger, Heinrich Niemann

   Pages 125-142

8. Distribution-Based Image Similarity

   • Jan Puzicha

   Pages 143-164

9. Distribution-Free Statistics for Segmentation

   • Greet Frederix, Eric J. Pauwels

   Pages 165-190

10. Information Retrieval Methods for Multimedia Objects

    • Norbert Fuhr

    Pages 191-212

11. New Descriptors for Image and Video Indexing

    • Patrick Gros, Ronan Fablet, Patrick Bouthemy

    Pages 213-234

12. Facial and Motion Analysis for Image and Video Retrieval

    • Massimo Tistarelli, Enrico Grosso

    Pages 235-254

13. Asymmetric Similarity Measures for Video Summarisation

    • Sorin M. Iacob, Reginald L. Lagendijk, Maria E. Iacob

    Pages 255-278

14. Video Retrieval Using Semantic Data

    • Alberto Del Bimbo

    Pages 279-295

15. Adaptable Similarity Search in Large Image Databases

    • Thomas Seidl, Hans-Peter Kriegel

    Pages 297-317

16. Parallel NN-Search for Large Multimedia Repositories

    • Roger Weber, Klemens Böhm, Hans-Jörg Schek

    Pages 319-343

17. Back Matter

    Pages 345-345

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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.

• computer vision
• database
• graphics
• image databases
• image processing
• information
• information retrieval
• information system
• information theory
• multimedia
• object recognition
• video
• visualization

• Utrecht University, The Netherlands

  Remco C. Veltkamp

• University of Freiburg, Germany

  Hans Burkhardt

• University of Munich, Germany

  Hans-Peter Kriegel

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