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Advanced Techniques in Multimedia Data Mining and Information Fusion: A Research Overview

This presentation by Dr. Mei-Ling Shyu explores cutting-edge methodologies in multimedia data mining, including association rule mining, information fusion, video indexing, and content-based image retrieval. The research focuses on effective browsing and retrieval of heterogeneous sources, leveraging techniques such as shot detection, video parsing, and classification using decision tree models. Highlighting significant projects in soccer video analysis and web data mining, the presentation also covers advancements in networking for multimedia systems, which are essential for efficient video transmission and management.

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Advanced Techniques in Multimedia Data Mining and Information Fusion: A Research Overview

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Presentation Transcript

  1. URL: http://rvc.eng.miami.edu/ Information form heterogeneous sources Association Rule Mining Video Browsing Image Retrieval Information fusion and Classification Presentation Authoring Data Pre-Filtering Soccer Videos Data Mining Information Fusion Networks Video Parsing Presentation Rendering Shot Detection Decision Tree Model Visual Features Audio Features Data mining, Database & Multimedia Research Group • Dr. Mei-Ling Shyu • ProfessorDepartment of Electrical and • Computer Engineering • University of MiamiPhone: 305-284-5566 • Fax: 305-284-4044E-mail: shyu@miami.edu • http://www.eng.miami.edu/~shyu/ • Research Areas • Multimedia Database System • - Content-Based Image Retrieval • Affinity Relationship Based Image Retrieval • Object-Based Image Retrieval • - Video Indexing and Mining • Object Tracking and Indexing for Video Database • Video Event Detection via Multimedia Data Mining • Video Shot/Scene Detection for Video Indexing • - Multimedia Presentation • - DMM Manager: Distributed Multimedia Management • System • Networking/Multimedia Networking Research • - End-to-End Video Transmission Framework • - Congestion Control • - Router Queue Management • - Intrusion Detection • Knowledge/Information Management • - Supervised and Unsupervised Classification • - Stochastic Clustering for Organizing Distributed • Information Sources • - Conceptual Image Database Clustering • - Affinity-Based Similarity Measure for Web Document • Clustering • - Web Data Mining & Web Recommender System - Web-based Content Management System: Coral Reef • and Reef Fish • - Caribbean-Wide Reef Fish Visual Census Universal • Database • Distributed Information Fusion Networks • - Data mining in incomplete data • - Information fusion • Funding Agencies: • NSF • NOAA • FDOI (Florida Department Of Insurance) • OIR (Florida Office of Insurance Regulation) • Naval Research Laboratory (NRL) • National Park Service Reef Fish Visual CensusUniversal Database Image Database Clustering Web-based Content Management System DMM Manager System Video Surveillance for Transportation System Video Indexing and Event Mining Web Data Mining and Recommender System Networking/Multimedia Networking Research

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