INTELLIGENT MULTIMEDIA PROCESSING WITH SOFT COMPUTING by Yap-Peng Tan (Editor), Kim H Yap (Editor), Lipo Wang (Editor) ( 9783540230533 )

Item Details

Title:

INTELLIGENT MULTIMEDIA PROCESSING WITH SOFT COMPUTING

By:

Yap-Peng Tan (Editor), Kim H Yap (Editor), Lipo Wang (Editor)

Format:

Hardback

List price:	£169.99
We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10:

354023053X

ISBN 13:

9783540230533

Publisher:

SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG

Pub. date:

20 October, 2004

Edition:

2005 ed.

Series:

Studies in Fuzziness and Soft Computing 168

Pages:

473

Description:

Presents applications of soft computing in multimedia processing. This book includes contributions which address problems in multimedia computing such as content analysis, indexing and retrieval, recognition and compression, or processing and filtering.

Synopsis:

Soft computing represents a collection of techniques, such as neural networks, evolutionary computation, fuzzy logic, and probabilistic reasoning. As - posed to conventional "hard" computing, these techniques tolerate impre- sion and uncertainty, similar to human beings. In the recent years, successful applications of these powerful methods have been published in many dis- plines in numerous journals, conferences, as well as the excellent books in this book series on Studies in Fuzziness and Soft Computing. This volume is dedicated to recent novel applications of soft computing in multimedia processing. The book is composed of 21 chapters written by experts in their respective fields, addressing various important and timely problems in multimedia computing such as content analysis, indexing and retrieval, recognition and compression, processing and filtering, etc. In the chapter authored by Guan, Muneesawang, Lay, Amin, and Lee, a radial basis function network with Laplacian mixture model is employed to perform image and video retrieval. D. Androutsos, P. Androutsos, Plataniotis, and Venetsanopoulos investigate color image indexing and retrieval within a small-world framework. Wu and Yap develop a framework of fuzzy relevance feedback to model the uncertainty of users' subjective perception in image retrieval.

Illustrations:

VIII, 473 p.

Publication:

Germany

Imprint:

Springer-Verlag Berlin and Heidelberg GmbH & Co. K

Returns:

Returnable

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