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Multimedia Database Retrieval:: A Human-Centered Approach 2006 Edition
Contributor(s): Muneesawang, Paisarn (Author), Guan, Ling (Author)
ISBN: 038725627X     ISBN-13: 9780387256276
Publisher: Springer
OUR PRICE:   $104.49  
Product Type: Hardcover - Other Formats
Published: September 2006
Qty:
Annotation: 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.
Additional Information
BISAC Categories:
- Computers | Databases - General
- Computers | System Administration - Storage & Retrieval
- Computers | Interactive & Multimedia
Dewey: 006.6
LCCN: 2006927193
Series: Signals and Communication Technology (Hardcover)
Physical Information: 0.61" H x 6.56" W x 9.26" (1.14 lbs) 188 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

-Presents state-of-the-art in visual media retrieval.

-Coverage of adaptive content-based retrieval systems and techniques in image and video database applications.

-Includes a novel machine-controlled interactive retrieval (MCIR) method that optimizes image search in distributed digital libraries over the Internet.