Multimedia Database Retrieval:

Multimedia Database Retrieval:
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A Human-Centered Approach
 eBook
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Artikel-Nr:
9780387346298
Veröffentl:
2006
Einband:
eBook
Seiten:
188
Autor:
Paisarn Muneesawang
Serie:
Signals and Communication Technology
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Beschreibung:

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 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.

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.

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.

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