Nozha Boujemaa / Marcin Detyniecki / Andreas Nürnberger (eds.)

Adaptive Multimedia Retrieval: Retrieval, User, and Semantics

5th International Workshop, AMR 2007, Paris, France, July 5-6, 2007, Revised Selected Papers
Herausgegeben:Boujemaa, Nozha; Detyniecki, Marcin; Nürnberger, Andreas

• Broschiertes Buch

Produktbeschreibung

This book constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Adaptive Multimedia Retrieval, AMR 2007, held in Paris, France, in July 2007. The 18 revised full papers presented together with 2 invited papers were carefully selected during two rounds of reviewing and improvement. The papers are organized in topical sections on image annotation, feedback and user modelling, music retrieval, fusion, P2P and middleware, databases and summarization, as well as ontology and semantics.

Produktdetails

• Lecture Notes in Computer Science 4918
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 12267644, 978-3-540-79859-0
• 2008
• Seitenzahl: 280
• Erscheinungstermin: 1. Juli 2008
• Englisch
• Abmessung: 235mm x 155mm x 16mm
• Gewicht: 428g
• ISBN-13: 9783540798590
• ISBN-10: 3540798595
• Artikelnr.: 23885787

Autorenporträt

Nozha Boujemaa, INRIA, Paris, Rocquencourt, France / Marcin Detyniecki, INRIA, Paris, Rocquencourt, France / Andreas Nürnberger, University of Magdeburg, Germany

Inhaltsangabe

Invited Contributions.
Learning Distance Functions for Automatic Annotation of Images.
Ontology: Use and Abuse.
Image Annotation.
Imagination: Exploiting Link Analysis for Accurate Image Annotation.
Automatic Image Annotation Using a Visual Dictionary Based on Reliable Image Segmentation.
Improving Automatic Image Annotation Based on Word Co
occurrence.
Feedback and User Modelling.
Automatic Image Annotation with Relevance Feedback and Latent Semantic Analysis.
A Novel Retrieval Refinement and Interaction Pattern by Exploring Result Correlations for Image Retrieval.
User Modelling for Interactive User
Adaptive Collection Structuring.
Music Retrieval.
Searching for Music Using Natural Language Queries and Relevance Feedback.
Automatically Detecting Members and Instrumentation of Music Bands Via Web Content Mining.
A System for Automatic Chord Transcription from Audio Using Genre
Specific Hidden Markov Models.
Fusion.
Information Fusion in Multimedia Information Retrieval.
Multi
level Fusion for Semantic Video Content Indexing and Retrieval.
P2P and Middleware.
Image Data Source Selection Using Gaussian Mixture Models.
Designing a Peer
to
Peer Architecture for Distributed Image Retrieval.
Databases and Summarization.
Comparison of Dimension Reduction Methods for Database
Adaptive 3D Model Retrieval.
Smart Photo Sticking.
How to Use SIFT Vectors to Analyze an Image with Database Templates.
Ontology and Semantics.
Video Semantic Content Analysis Framework Based on Ontology Combined MPEG
7.
Trajectory Annotation and Retrieval Based on Semantics.