Multimedia Database Retrieval: A Human-Centered Approach presents thelatest development in user-centered methods and the state-of-the-art invisual media retrieval. It includes discussion on perceptually inspirednon-linear paradigm in user-controlled interactive retrieval (UCIR)systems. It also features a coherent approach which focuses on specific topicswithin content/concept-based retrievals via audio-visual information modelingof multimedia.Highlights include:* Exploring an adaptive machine that can learn from itsenvironment* Optimizing the learning system by incorporating self-organizingadaptation into the retrieval process* Demonstrating state-of-the-art applications within small,medium, and large databasesThe authors also include applications related to Digital AssetManagement (DAM), Computer Aided Referral (CAR) System, GeographicalDatabase Retrieval, retrieval of Art Documents, and Films and VideoRetrieval. Multimedia Database Retrieval: A Human-Centered Approach presents thefundamental and advanced aspects of these topics, as well as thephilosophical directions in the field. The methods detailed in thisbook possess broad applications which will advance the technology inthis fast developing topical area.
Interactive Content-based Image Retrieval.- High Performance Retrieval: A New Machine Learning Approach.- Automatic Relevance Feedback.- Automatic Retrieval on P2P Network and Knowledge-based Databases.- Adaptive Video Indexing and Retrieval.- Movie Retrieval Using Audio-visual Fusion.
Kim-Hui Yap, Ling Guan, Stuart William Perry, Hau San Wong, Singapore) Yap, Kim-Hui (Nanyang Technological University, Canada) Guan, Ling (Ryerson University, Toronto, Ontario, Australia) Perry, Stuart William (Canon Information Systems Research, North Ryde, New South Wales, Hong Kong) Wong, Hau San (City University of Hong Kong