Adaptive Multimedia Retrieval: First International Workshop, AMR 2003, Hamburg, Germany, September 15-16, 2003, Revised Selected and Invited Papers
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.
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Adaptive Systems for Multimedia Information Retrieval
Overview of Approaches to Semantic Augmentation of Multimedia Databases for Efficient Access and Content Retrieval
Building User Models from Observations of Users Accessing Multimedia Learning Objects
Personalized Support for Interaction with Scientific Information Portals
Adaptive TV News Delivery on the Web
User Adaptive Categorization of Document Collections
Automatic Keyword Extraction for News Finder
OntologyBased Semantic Classification of Unstructured Documents
Defining Search Areas to Localize Limbs in Body Motion Analysis
Learning Fuzzy Rules for Visual Speech Recognition
Adaptive Discovery of Indexing Rules for Video
A Combination of Machine Learning and Image Processing Technologies for the Classification of Image Regions
Neural NetworkGenerated Image Retrieval and Refinement
Error Tolerant Melody Matching Method in Music Information Retrieval
Intelligent Visual Descriptor Extraction from Video Sequences
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Adaptive Multimedia Retrieval: First International Workshop, AMR 2003 ...
Andreas Nürnberger,Marcin Detyniecki
No preview available - 2004
accuracy adaptive algorithm analysis annotation applications approach audio automatic browsing classes classification clusters color components Computer concepts Conference content-based contour created curve database decision tree defined described descriptors dictionary document management domain evaluation example experiments feature extraction Fischlár-News fuzzy decision tree fuzzy sets hidden node humming IEEE image retrieval indexing information need input interaction interface key-frames keyword knowledge learning objects limb linguistic Link Grammar Machine Learning matching Mecureo metadata Metasaur method multimedia multimedia information retrieval multiple pitch candidates natural language neural network NewsFlash Nürnberger obtained OmniPaper ontology parameters performed pixels problem proposed query recommender regions relevance feedback representation represented retrieval system rules search area searcher segmentation selected self-organizing map semantic sequence similar slide speech recognition stories task techniques tion tool TRECVID user model user’s vector space model viseme visualisation WordNet words