Adaptive Multimedia Retrieval. Large-Scale Multimedia Retrieval and Evaluation

1. Front Matter

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2. Invited Contribution

   1. Learning-Based Interactive Retrieval in Large-Scale Multimedia Collections

      • Hisham Mohamed, Marc von Wyl, Eric Bruno, Stéphane Marchand-Maillet

      Pages 1-17

3. Evaluation and User Studies

   1. A User Study of Visual Search Performance with Interactive 2D and 3D Storyboards

      • Klaus Schoeffmann, David Ahlström, Laszlo Böszörmenyi

      Pages 18-32

   2. An Illustrated Methodology for Evaluating ASR Systems

      • María González, Julián Moreno, José Luis Martínez, Paloma Martínez

      Pages 33-42

4. Audio and Music

   1. Context-Aware Features for Singing Voice Detection in Polyphonic Music

      • Vishweshwara Rao, Chitralekha Gupta, Preeti Rao

      Pages 43-57

   2. Personalization in Multimodal Music Retrieval

      • Markus Schedl, Peter Knees

      Pages 58-71

5. Image Retrieval

   1. Classifying Images at Scene Level: Comparing Global and Local Descriptors

      • Christian Hentschel, Sebastian Gerke, Eugene Mbanya

      Pages 72-82

   2. Effectiveness of ICF Features for Collection-Specific CBIR

      • Nabeel Mohammed, David McG. Squire

      Pages 83-95

6. Similarity and Music

   1. An Experimental Comparison of Similarity Adaptation Approaches

      • Sebastian Stober, Andreas Nürnberger

      Pages 96-113

   2. Combining Sources of Description for Approximating Music Similarity Ratings

      • Daniel Wolff, Tillman Weyde

      Pages 114-124

   3. An Approach to Automatic Music Band Member Detection Based on Supervised Learning

      • Peter Knees

      Pages 125-139

7. Back Matter

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This book constitutes the refereed post-proceedings of the 9th International Conference on Adaptive Multimedia Retrieval, AMR 2011, held in Barcelona, Spain, in July 2011. The 9 revised full papers and the invited contribution presented were carefully reviewed and selected from numerous submissions. The papers cover topics ranging from theoretical work to practical implementations and its evaluation, most of them dealing with audio or music media. They are organized in topical sections on evaluation and user studies, audio and music, image retrieval, and similarity and music.

• feature extraction
• machine learning
• multimedia search
• music similarity
• speech retrieval systems

• Laboratoire d’Informatique de Paris 6 (LIP6), Université Pierre et Marie Curie, Paris, France

  Marcin Detyniecki

• Departamento de Lenguajes y Sistemas Informáticos (LSI), Universidad Nacional de Educación a Distancia (UNED), Madrid, Spain

  Ana García-Serrano

• Faculty of Computer Science, Otto-von-Guericke University, Magdeburg, Germany

  Andreas Nürnberger, Sebastian Stober

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