Multimedia Database Retrieval: : A Human-Centered Approach

Ling Guan

ISBN 10: 144193815X / ISBN 13: 9781441938152

Editore: Springer US, 2010

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Druck auf Anfrage Neuware - Printed after ordering - 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.

Codice articolo 9781441938152

Dati bibliografici

• Titolo: Multimedia Database Retrieval: : A Human-Centered Approach
• Editore: Springer US
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 144193815X
• ISBN 13: 9781441938152
• Rilegatura: Taschenbuch
• Condizione: Neu

Descrizione articolo

Riassunto

This state-of-the-art reference covers adaptive content-based retrieval systems and techniques in image and video database applications. 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. The text includes a novel machine-controlled interactive retrieval (MCIR) method that optimizes image search in distributed digital libraries over the Internet. Finally, UCIR and MCIR systems are demonstrated by applications including Digital Asset Management (DAM), Geographical Database Retrieval, Searching and Retrieval of Art Documents, and Film and Video Retrieval.

Dalla quarta di copertina

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.