Overview
- Editors:
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Yap-Peng Tan
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School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
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Kim Hui Yap
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School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
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Lipo Wang
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School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
- Presents novel applications of soft computing in multimedia processing
- Addresses researchers, graduate students, and industrial practitioners in the broad areas of multimedia and soft computing
- Includes supplementary material: sn.pub/extras
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Table of contents (21 chapters)
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Front Matter
Pages I-VIII
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- L. Guan, P. Muneesawang, J. Lay, T. Amin, I. Lee
Pages 1-31
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- D. Androutsos, P. Androutsos, K. N. Plataniotis, A. N. Venetsanopoulos
Pages 33-54
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- Tat-Seng Chua, Huamin Feng
Pages 75-90
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- Milind R. Naphade, John R. Smith
Pages 91-107
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- Xiaodan Song, Ching-Yung Lin, Ming-Ting Sun
Pages 109-128
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- Ziyou Xiong, Regunathan Radhakrishnan, Ajay Divakaran, Thomas S. Huang
Pages 129-149
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- Zhu Li, Aggelos K. Katsaggelos, Guido M. Schuster
Pages 171-204
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- Daniele Vigliano, Raffaele Parisi, Aurelio Uncini
Pages 205-234
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- Ja-Ling Wu, Chun-Hung Lin, Chun-Hsiang Huang
Pages 253-280
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- Junping Zhang, Stan Z. Li, Jue Wang
Pages 281-300
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- Weilong Chen, Meng Joo Er, Shiqian Wu
Pages 301-326
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- Satoshi Nakamura, Tatsuo Yotsukura, Shigeo Morishima
Pages 349-368
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- Ming-Cheung Cheung, Man-Wai Mak, Sun-Yuan Kung
Pages 369-387
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- Meng Joo Er, Zhengrong Li
Pages 389-414
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- Lipo Wang, Leipo Yan, Kim-Hui Yap
Pages 415-429
About this book
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.