Name: Intelligent Multimedia Processing With Soft Computing (Studies in Fuzziness and Soft Computing, 168) (en Inglés)
SKU: 62117720
Price: 153.93 USD
Availability: InStock
Author: Tan Yap Peng,Yap Kim-Hui,Wang Lipo
ISBN: 9783540230533

portada Intelligent Multimedia Processing With Soft Computing (Studies in Fuzziness and Soft Computing, 168) (en Inglés)

Intelligent Multimedia Processing With Soft Computing (Studies in Fuzziness and Soft Computing, 168) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Tan Yap Peng,Yap Kim-Hui,Wang Lipo

Idioma

Inglés

N° páginas

481

Encuadernación

Tapa Dura

ISBN13

9783540230533

N° edición

2005th

Intelligent Multimedia Processing With Soft Computing (Studies in Fuzziness and Soft Computing, 168) (en Inglés)

Tan Yap Peng,Yap Kim-Hui,Wang Lipo (Autor) · Springer · Tapa Dura

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Reseña del libro "Intelligent Multimedia Processing With Soft Computing (Studies in Fuzziness and Soft Computing, 168) (en Inglés)"

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.