Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework, Mousmita Sarma; Kandarpa Kumar Sarma

Автор: Siddhartha Bhattacharyya; Paramartha Dutta; Sourav
Название: Hybrid Soft Computing for Image Segmentation
ISBN: 3319472224 ISBN-13(EAN): 9783319472225
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book proposes soft computing techniques for segmenting real-life images in applications such as image processing, image mining, video surveillance, and intelligent transportation systems. The book suggests hybrids deriving from three main approaches: fuzzy systems, primarily used for handling real-life problems that involve uncertainty; artificial neural networks, usually applied for machine cognition, learning, and recognition; and evolutionary computation, mainly used for search, exploration, efficient exploitation of contextual information, and optimization.The contributed chapters discuss both the strengths and the weaknesses of the approaches, and the book will be valuable for researchers and graduate students in the domains of image processing and computational intelligence.

Автор: Ju Guo; C.-C. Jay Kuo
Название: Semantic Video Object Segmentation for Content-Based Multimedia Applications
ISBN: 1461355869 ISBN-13(EAN): 9781461355861
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Semantic Video Object Segmentation for Content-Based Multimedia Applications provides a thorough review of state-of-the-art techniques as well as describing several novel ideas and algorithms for semantic object extraction from image sequences.

Автор: Mousmita Sarma; Kandarpa Kumar Sarma
Название: Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework
ISBN: 8132218612 ISBN-13(EAN): 9788132218616
Издательство: Springer
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Цена: 18284.00 р.
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Описание: The book discusses intelligent system design using soft computing and similar systems and their interdisciplinary applications. It also focuses on the recent trends to use soft computing as a versatile tool for designing a host of decision support systems.

Автор: Sourav De; Siddhartha Bhattacharyya; Susanta Chakr
Название: Hybrid Soft Computing for Multilevel Image and Data Segmentation
ISBN: 3319475231 ISBN-13(EAN): 9783319475233
Издательство: Springer
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Цена: 13275.00 р.
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Описание: This book explains efficient solutions for segmenting the intensity levels of different types of multilevel images. The authors present hybrid soft computing techniques, which have advantages over conventional soft computing solutions as they incorporate data heterogeneity into the clustering/segmentation procedures.This is a useful introduction and reference for researchers and graduate students of computer science and electronics engineering, particularly in the domains of image processing and computational intelligence.

Автор: Jia Li; Robert M. Gray
Название: Image Segmentation and Compression Using Hidden Markov Models
ISBN: 1461370272 ISBN-13(EAN): 9781461370277
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Conventional block-based segmentation algorithms classify each block separately, assuming independence of feature vectors. Image Segmentation and Compression Using Hidden Markov Models presents a new algorithm that models the statistical dependence among image blocks by two dimensional hidden Markov models (HMMs).