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This book deals with adaptive content-based retrieval systems and techniques in image and video database applications. It discusses key considerations in the development of these methods, and demonstrates their performance. It first introduces a perceptually inspired non-linear paradigm in user-controlled interactive retrieval (UCIR), providing an effective tool to bridge the perceptual gap between high-level semantics in human vision and low-level features used by computers. Then, a novel machine-controlled interactive retrieval (MCIR) method is presented to optimize image search in…mehr

Produktbeschreibung
This book deals with adaptive content-based retrieval systems and techniques in image and video database applications. It discusses key considerations in the development of these methods, and demonstrates their performance. It first introduces a perceptually inspired non-linear paradigm in user-controlled interactive retrieval (UCIR), providing an effective tool to bridge the perceptual gap between high-level semantics in human vision and low-level features used by computers. Then, a novel machine-controlled interactive retrieval (MCIR) method is presented to optimize image search in distributed digital libraries over Internet, by minimizing bandwidth requirement in retrieval and reducing human subjective errors. The adaptive methodologies and techniques are then generalized to content analysis and retrieval of video data with time-varying nature, which provide multiple-level access to a large quantity of digital videos. Finally, the UCIR and MCIR systems are demonstrated by applications ranging from Digital Asset Management (DAM), Geographical Database Retrieval, Searching and Retrieval of Art Documents, and Film and Video Retrieval.
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.

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Autorenporträt
Paisarn Muneesawang, United Arab Emirates University, Al-Ain, United Arab Emirates / Ling Guan, Ryerson University, Toronto, ON, Canada