Intelligent Multimedia Processing with Soft Computing (Hardcover, 2005 ed.)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Studies in Fuzziness and Soft Computing, 168
Release date:	October 2004
First published:	2005
Editors:	Yap-Peng Tan • Kim-Hui Yap • Lipo Wang
Dimensions:	235 x 155 x 30mm (L x W x T)
Format:	Hardcover
Pages:	473
Edition:	2005 ed.
ISBN-13:	978-3-540-23053-3
Categories:	Books > Computing & IT > Computer software packages > Multimedia
LSN:	3-540-23053-X
Barcode:	9783540230533

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