Description
SPRINGER Multimedia Data Mining And Knowledge Discovery 2007 Edition by PETRUSHIN VALERY A. ET.AL
This volume provides an overview of multimedia data mining and knowledge discovery and discusses the variety of hot topics in multimedia data mining research. It describes the objectives and current tendencies in multimedia data mining research and their applications. Each part contains an overview of its chapters and leads the reader with a structured approach through the diverse subjects in the field. into Multimedia Data Mining and Knowledge Discovery.- Multimedia Data Mining: An Overview.- Multimedia Data Exploration and Visualization.- A New Hierarchical Approach for Image Clustering.- Multiresolution Clustering of Time Series and Application to Images.- Mining Rare and Frequent Events in Multi-camera Surveillance Video.- Density-Based Data Analysis and Similarity Search.- Feature Selection for Classification of Variable Length Multiattribute Motions.- Multimedia Data Indexing and Retrieval.- FAST: Fast and Semantics-Tailored Image Retrieval.- New Image Retrieval Principle: Image Mining and Visual Ontology.- Visual Alphabets: Video Classification by End Users.- Multimedia Data Modeling and Evaluation.- Cognitively Motivated Novelty Detection in Video Data Streams.- Video Event Mining via Multimodal Content Analysis and Classification.- Exploiting Spatial Transformations for Identifying Mappings in Hierarchical Media Data.- A Novel Framework for Semantic Image Classification and Benchmark Via Salient Objects.- Extracting Semantics Through Dynamic Context.- Mining Image Content by Aligning Entropies with an Exemplar.- More Efficient Mining Over Heterogeneous Data Using Neural Expert Networks.- A Data Mining Approach to Expressive Music Performance Modeling.- Applications and Case Studies.- Supporting Virtual Workspace Design Through Media Mining and Reverse Engineering.- A Time-Constrained Sequential Pattern Mining for Extracting Semantic Events in Videos.- Multiple-Sensor People Localization in an Office Environment.- Multimedia Data Mining Framework for Banner Images.- Analyzing User's Behavior on a Video Database.- On SVD-Free Latent Semantic Indexing for Iris Recognition of Large Databases.- Mining Knowledge in Computer Tomography Image Databases.