Adaptive Multimedia Retrieval:User, Context, and Feedback (eBook, PDF)
4th International Workshop, AMR 2006, Geneva, Switzerland, July, 27-28, 2006, Revised Selected Papers
Redaktion: Marchand-Maillet, Stéphane; Detyniecki, Marcin; Nürnberger, Andreas; Bruno, Eric
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Adaptive Multimedia Retrieval:User, Context, and Feedback (eBook, PDF)
4th International Workshop, AMR 2006, Geneva, Switzerland, July, 27-28, 2006, Revised Selected Papers
Redaktion: Marchand-Maillet, Stéphane; Detyniecki, Marcin; Nürnberger, Andreas; Bruno, Eric
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This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Adaptive Multimedia Retrieval, AMR 2006, held in Geneva, Switzerland in July 2006. The papers cover ontology-based retrieval and annotation, ranking and similarity measurements, music information retrieval, visual modeling, adaptive retrieval, structuring multimedia, as well as user integration and profiling.
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This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Adaptive Multimedia Retrieval, AMR 2006, held in Geneva, Switzerland in July 2006. The papers cover ontology-based retrieval and annotation, ranking and similarity measurements, music information retrieval, visual modeling, adaptive retrieval, structuring multimedia, as well as user integration and profiling.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Springer Berlin Heidelberg
- Seitenzahl: 276
- Erscheinungstermin: 20. Juni 2007
- Englisch
- ISBN-13: 9783540715450
- Artikelnr.: 44120933
- Verlag: Springer Berlin Heidelberg
- Seitenzahl: 276
- Erscheinungstermin: 20. Juni 2007
- Englisch
- ISBN-13: 9783540715450
- Artikelnr.: 44120933
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
Stéphane Marchand-Müller, University of Geneva, Switzerland / Eric Bruno, University of Geneva, Switzerland / Andreas Nürnberger, University of Magdeburg, Germany / Marcin Detyniecki, Laboratoire d'Informatique de Paris VI, France
Ontology-Based Retrieval and Annotation.- A Method for Processing the Natural Language Query in Ontology-Based Image Retrieval System.- SAFIRE: Towards Standardized Semantic Rich Image Annotation.- Ontology-Supported Video Modeling and Retrieval.- Ranking and Similarity Measurements.- Learning to Retrieve Images from Text Queries with a Discriminative Model.- A General Principled Method for Image Similarity Validation.- Rank-Test Similarity Measure Between Video Segments for Local Descriptors.- Music Information Retrieval.- Can Humans Benefit from Music Information Retrieval?.- Visual Modelling.- A New Approach to Probabilistic Image Modeling with Multidimensional Hidden Markov Models.- 3D Face Recognition by Modeling the Arrangement of Concave and Convex Regions.- Fuzzy Semantic Action and Color Characterization of Animation Movies in the Video Indexing Task Context.- Retrieval of Document Images Based on Page Layout Similarity.- Adaptive Retrieval.- Multimedia Content Adaptation Within the CAIN Framework Via Constraints Satisfaction and Optimization.- Aspects of Adaptivity in P2P Information Retrieval.- Interactive Museum Guide: Accurate Retrieval of Object Descriptions.- Structuring Multimedia.- Semantic Image Retrieval Using Region-Based Relevance Feedback.- Image Retrieval with Segmentation-Based Query.- Fast Structuring of Large Television Streams Using Program Guides.- User Integration and Profiling.- Variation of Relevance Assessments for Medical Image Retrieval.- An Efficient Collaborative Information Retrieval System by Incorporating the User Profile.- The Potential of User Feedback Through the Iterative Refining of Queries in an Image Retrieval System.
Ontology-Based Retrieval and Annotation.- A Method for Processing the Natural Language Query in Ontology-Based Image Retrieval System.- SAFIRE: Towards Standardized Semantic Rich Image Annotation.- Ontology-Supported Video Modeling and Retrieval.- Ranking and Similarity Measurements.- Learning to Retrieve Images from Text Queries with a Discriminative Model.- A General Principled Method for Image Similarity Validation.- Rank-Test Similarity Measure Between Video Segments for Local Descriptors.- Music Information Retrieval.- Can Humans Benefit from Music Information Retrieval?.- Visual Modelling.- A New Approach to Probabilistic Image Modeling with Multidimensional Hidden Markov Models.- 3D Face Recognition by Modeling the Arrangement of Concave and Convex Regions.- Fuzzy Semantic Action and Color Characterization of Animation Movies in the Video Indexing Task Context.- Retrieval of Document Images Based on Page Layout Similarity.- Adaptive Retrieval.- Multimedia Content Adaptation Within the CAIN Framework Via Constraints Satisfaction and Optimization.- Aspects of Adaptivity in P2P Information Retrieval.- Interactive Museum Guide: Accurate Retrieval of Object Descriptions.- Structuring Multimedia.- Semantic Image Retrieval Using Region-Based Relevance Feedback.- Image Retrieval with Segmentation-Based Query.- Fast Structuring of Large Television Streams Using Program Guides.- User Integration and Profiling.- Variation of Relevance Assessments for Medical Image Retrieval.- An Efficient Collaborative Information Retrieval System by Incorporating the User Profile.- The Potential of User Feedback Through the Iterative Refining of Queries in an Image Retrieval System.