Adaptive Multimedia Retrieval

1. Front Matter

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2. Invited Contributions

   1. Adaptive Systems for Multimedia Information Retrieval

      • Gareth J. F. Jones

      Pages 1-18

   2. Overview of Approaches to Semantic Augmentation of Multimedia Databases for Efficient Access and Content Retrieval

      • Serhiy Kosinov, Stéphane Marchand-Maillet

      Pages 19-35

   3. Building User Models from Observations of Users Accessing Multimedia Learning Objects

      • Judy Kay, Andrew Lum

      Pages 36-57

3. Retrieval Systems

   1. Personalized Support for Interaction with Scientific Information Portals

      • Eric Schwarzkopf, Anthony Jameson

      Pages 58-71

   2. NewsFlash: Adaptive TV News Delivery on the Web

      • Alan Haggerty, Ryen W. White, Joemon M. Jose

      Pages 72-86

   3. User Adaptive Categorization of Document Collections

      • Andreas Nürnberger

      Pages 87-98

4. Text and Ontologies

   1. Automatic Keyword Extraction for News Finder

      • José Luis Martínez-Fernández, Ana García-Serrano, Paloma Martínez, Julio Villena

      Pages 99-119

   2. Ontology-Based Semantic Classification of Unstructured Documents

      • Ching Kang Cheng, Xiaoshan Pan, Franz Kurfess

      Pages 120-131

5. Feature Extraction from Video

   1. Intelligent Visual Descriptor Extraction from Video Sequences

      • Paraskevi Tzouveli, Georgios Andreou, Gabriel Tsechpenakis, Yiannis Avrithis, Stefanos Kollias

      Pages 132-146

   2. Defining Search Areas to Localize Limbs in Body Motion Analysis

      • Thomas Fourès, Philippe Joly

      Pages 147-163

   3. Learning Fuzzy Rules for Visual Speech Recognition

      • M. A. Anwar, Jim F. Baldwin, Trevor P. Martin

      Pages 164-175

   4. Adaptive Discovery of Indexing Rules for Video

      • Marcin Detyniecki

      Pages 176-184

6. Image

   1. A Combination of Machine Learning and Image Processing Technologies for the Classification of Image Regions

      • Andreas D. Lattner, Andrea Miene, Otthein Herzog

      Pages 185-199

   2. Neural Network-Generated Image Retrieval and Refinement

      • Kyoung-Mi Lee

      Pages 200-211

7. Sound

   1. Error Tolerant Melody Matching Method in Music Information Retrieval

      • Sung-Phil Heo, Motoyuki Suzuki, Akinori Ito, Shozo Makino, Hyun-Yeol Chung

      Pages 212-227

8. Back Matter

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This book is an extended collection of contributions that wereoriginally subm- ted to the 1st International Workshop on Adaptive Multimedia Retrieval (AMR 2003), which was organized as part of the 26th German Conference on Arti?cial Intelligence (KI 2003),and held during September 15–18,2003at the University of Hamburg, Germany. Motivated by the overall success of the workshop – as revealed by the stimulating atmosphere during the workshop and the number of very interested and active participants – we ?nally decided to edit a book based on revised papers that were initially submitted to the workshop. Furthermore, we invited some more introductory contributions in order to be able to provide a conclusive book on current topics in the area of adaptive multimedia retrieval systems. We hope that we were able to put together a stimulating collection of articles for the interested reader. We like to thank the organizationcommittee of the 26th German Conference on Arti?cial Intelligence (KI 2003) for providing the setting and the admin- trative support in realizing this workshop as part of their program. Especially, we like to thank Christopher Habel for promoting the workshop as part of the conference program and Andreas Gun ¨ ther for his kind support throughout the organization process.

• Fuzzy
• Multimedia
• adaptive multimedia retrieval
• classification
• cognition
• database
• image processing
• image retrieval
• learning
• machine learning
• multimedia databases
• multimedia information retrieval
• ontologies
• video retrieval
• web services

• Institute for Knowledge and Language Engineering, Faculty of Computer Science, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany

  Andreas Nürnberger

• Laboratoire d’Informatique de Paris 6,  

  Marcin Detyniecki

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