Studies in Fuzziness and Soft Computing

By: Y. P. Tan, Yap-Peng Tan (Editor), Kim H. Yap (Editor)

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Hardcover | 20 October 2004

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Hardcover
484 Pages

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24.77 x 17.15 x 3.18

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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.

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You Can Find This Book In

Non-Fiction Computing & I.T.Graphical & Digital Media Applications Mathematics Applied Mathematics Probability & Statistics Information Technology General Issue Databases Data Capture & Analysis Computer Science Artificial Intelligence Computer Vision

Engineering & Technology Technology in General Engineering in General Image Processing Business Applications

From the contents: Human-Centered Computing for Image and Video Retrieval
Vector Color Image Indexing and Retrieval With in a Small-World Framework
A Perceptual Subjectivity Notion in Interactive Content-Based Image Retrieval Systems
A Scalable Bootstrapping Framework for Auto-Annotation of Large Image Collections
Moderate Vocabulary Visual Concept Detection for the TRECVID 2002
Automatic Visual Concept Training Using Imperfect Cross-Modality Information
Audio-Visual Event Recognition with Application in Sports Video
Fuzzy Logic Methods for Video Shot Boundary Detection and Classification
Rate-Distortion Optimal Video Summarization and Coding
Video Compression by Neural Networks
Knowledge Extraction in Stereo Video Sequences Using Adaptive Neural Networks
An Efficient Genetic Algorithm for Small Search Range Problems and Its Applications
Manifold Learning and Applications in Recognition
Face Recognition Using Discrete Cosine Transform and RBF Neural Networks
Table of Contents provided by Publisher. All Rights Reserved.

Studies in Fuzziness and Soft Computing

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Hardcover

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