Multimedia Database Retrieval: [electronic resource] : A Human-Centered Approach /
Muneesawang, Paisarn.author.
Guan, Ling.author.
Multimedia Database Retrieval: A Human-Centered Approach presents the latest development in user-centered methods and the state-of-the-art in visual media retrieval. It includes discussion on perceptually inspired non-linear paradigm in user-controlled interactive retrieval (UCIR) systems. It also features a coherent approach which focuses on specific topics within content/concept-based retrievals via audio-visual information modeling of multimedia. Highlights include: * Exploring an adaptive machine that can learn from its environment * Optimizing the learning system by incorporating self-organizing adaptation into the retrieval process * Demonstrating state-of-the-art applications within small, medium, and large databases The authors also include applications related to Digital Asset Management (DAM), Computer Aided Referral (CAR) System, Geographical Database Retrieval, retrieval of Art Documents, and Films and Video Retrieval. Multimedia Database Retrieval: A Human-Centered Approach presents the fundamental and advanced aspects of these topics, as well as the philosophical directions in the field. The methods detailed in this book possess broad applications which will advance the technology in this fast developing topical area.
Description based upon print version of record.
Includes bibliographical reference (p.[173]-184) and index.
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.
Multimedia Database Retrieval: A Human-Centered Approach presents the latest development in user-centered methods and the state-of-the-art in visual media retrieval. It includes discussion on perceptually inspired non-linear paradigm in user-controlled interactive retrieval (UCIR) systems. It also features a coherent approach which focuses on specific topics within content/concept-based retrievals via audio-visual information modeling of multimedia. Highlights include: * Exploring an adaptive machine that can learn from its environment * Optimizing the learning system by incorporating self-organizing adaptation into the retrieval process * Demonstrating state-of-the-art applications within small, medium, and large databases The authors also include applications related to Digital Asset Management (DAM), Computer Aided Referral (CAR) System, Geographical Database Retrieval, retrieval of Art Documents, and Films and Video Retrieval. Multimedia Database Retrieval: A Human-Centered Approach presents the fundamental and advanced aspects of these topics, as well as the philosophical directions in the field. The methods detailed in this book possess broad applications which will advance the technology in this fast developing topical area.
Multimedia information systems.
Signal processing.
Image processing.
Speech processing systems.
Optical data processing.
Information storage and retrieval.
Electrical engineering.
Multimedia Information Systems.
Signal, Image and Speech Processing.
Image Processing and Computer Vision.
Information Storage and Retrieval.
Electrical Engineering.


Signals and Communication Technology