Multimedia Database Retrieval:: A Human-Centered Approach / Edition 1

Multimedia Database Retrieval:: A Human-Centered Approach / Edition 1

by Paisarn Muneesawang, Ling Guan
ISBN-10:
038725627X
ISBN-13:
9780387256276
Pub. Date:
09/06/2006
Publisher:
Springer US
ISBN-10:
038725627X
ISBN-13:
9780387256276
Pub. Date:
09/06/2006
Publisher:
Springer US
Multimedia Database Retrieval:: A Human-Centered Approach / Edition 1

Multimedia Database Retrieval:: A Human-Centered Approach / Edition 1

by Paisarn Muneesawang, Ling Guan

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Overview

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.


Product Details

ISBN-13: 9780387256276
Publisher: Springer US
Publication date: 09/06/2006
Series: Signals and Communication Technology
Edition description: 2006
Pages: 188
Product dimensions: 6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

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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