Adaptive Multimedia Retrieval. Large-Scale Multimedia Retrieval and Evaluation 9th International Workshop, AMR 2011, Barcelona, Spain, July 18-19, 2011, Revised Selected Papers /

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....

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Detyniecki, Marcin (Editor ), García-Serrano, Ana (Editor ), Nürnberger, Andreas (Editor ), Stober, Sebastian (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Colección:Information Systems and Applications, incl. Internet/Web, and HCI ; 7836
Temas:
Information storage and retrieval systems.
Multimedia systems.
Data mining.
User interfaces (Computer systems).
Human-computer interaction.
Database management.
Application software.
Information Storage and Retrieval.
Multimedia Information Systems.
Data Mining and Knowledge Discovery.
User Interfaces and Human Computer Interaction.
Database Management.
Computer and Information Systems Applications.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Learning-Based Interactive Retrieval in Large-Scale Multimedia
  • A User Study of Visual Search Performance with Interactive 2D and 3D Storyboards
  • An Illustrated Methodology for Evaluating ASR Systems
  • Context-Aware Features for Singing Voice Detection in Polyphonic Music
  • Personalization in Multimodal Music Retrieval
  • Classifying Images at Scene Level: Comparing Global and Local Descriptors
  • Effectiveness of ICF Features for Collection-Specific CBIR
  • An Experimental Comparison of Similarity Adaptation Approaches
  • Combining Sources of Description for Approximating Music Similarity Ratings
  • An Approach to Automatic Music Band Member Detection Based on Supervised Learning.

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