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Semantic Video Object Segmentation for Content-Based Multimedia Applications, Ju Guo; C.-C. Jay Kuo


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Автор: Ju Guo; C.-C. Jay Kuo
Название:  Semantic Video Object Segmentation for Content-Based Multimedia Applications
ISBN: 9781461355861
Издательство: Springer
Классификация:




ISBN-10: 1461355869
Обложка/Формат: Paperback
Страницы: 109
Вес: 0.20 кг.
Дата издания: 05.11.2012
Серия: The Springer International Series in Engineering and Computer Science
Язык: English
Размер: 234 x 156 x 7
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
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.

Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework

Автор: Mousmita Sarma; Kandarpa Kumar Sarma
Название: Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework
ISBN: 8132235150 ISBN-13(EAN): 9788132235156
Издательство: Springer
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Цена: 104480.00 T
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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.

Hybrid Soft Computing for Multilevel Image and Data Segmentation

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: 88500.00 T
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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.

Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies

Автор: Ayman S. El-Baz; Rajendra Acharya U; Majid Mirmehd
Название: Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies
ISBN: 1489978135 ISBN-13(EAN): 9781489978134
Издательство: Springer
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Цена: 191550.00 T
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Описание: Advances in image-guided cancer surgery have enlarged the role of image segmentation and registration. This book reviews current methodologies, to help physicians delineate anatomical structures, enhance the accuracy of diagnosis and improve treatment planning.

Advanced Algorithmic Approaches to Medical Image Segmentation

Автор: S. Kamaledin Setarehdan; Sameer Singh
Название: Advanced Algorithmic Approaches to Medical Image Segmentation
ISBN: 1447110439 ISBN-13(EAN): 9781447110439
Издательство: Springer
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Цена: 186330.00 T
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Описание: Medical imaging is an important topic and plays a key role in robust diagnosis and patient care. It has experienced an explosive growth over the last few years due to imaging modalities such as X-rays, computed tomography (CT), magnetic resonance (MR) imaging, and ultrasound.

Image Segmentation and Compression Using Hidden Markov Models

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: 139750.00 T
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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).

Semantic Video Object Segmentation for Content-Based Multimedia Applications

Автор: Ju Guo; C.-C. Jay Kuo
Название: Semantic Video Object Segmentation for Content-Based Multimedia Applications
ISBN: 0792375130 ISBN-13(EAN): 9780792375135
Издательство: Springer
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Цена: 121110.00 T
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Описание: Semantic object extraction is an essential element in content-based multimedia services, such as the newly developed MPEG4 and MPEG7 standards. This title provides a review of techniques as well as describing several novel ideas and algorithms for semantic object extraction from image sequences.

Video Segmentation and Its Applications

Автор: King Ngi Ngan; Hongliang Li
Название: Video Segmentation and Its Applications
ISBN: 1489994661 ISBN-13(EAN): 9781489994660
Издательство: Springer
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Цена: 113180.00 T
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Описание: This book presents the latest advances in video segmentation and analysis techniques and covers the theoretical approaches, real applications and methods developed in the computer vision and video analysis community.

Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework

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: 121890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Segmentation of Hand Bone for Bone Age Assessment

Автор: Yan Chai Hum
Название: Segmentation of Hand Bone for Bone Age Assessment
ISBN: 9814451657 ISBN-13(EAN): 9789814451659
Издательство: Springer
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Цена: 65290.00 T
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Описание: The objective of this Brief is to provide a solution to the unsolved technical problem in segmentation for the automated bone age assessment system. It is followed by a novel fuzzy quadruple division scheme to optimize the central segmentation algorithm, and then an additional quality assurance scheme.

Hybrid Soft Computing for Image Segmentation

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: 102480.00 T
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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.

Reconstruction, Segmentation, and Analysis of Medical Images

Автор: Maria A. Zuluaga; Kanwal Bhatia; Bernhard Kainz; M
Название: Reconstruction, Segmentation, and Analysis of Medical Images
ISBN: 3319522795 ISBN-13(EAN): 9783319522791
Издательство: Springer
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Цена: 46570.00 T
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Описание: Registration.- Reconstruction.- Deep learning for heart segmentation.- Discrete optimization and probabilistic intensity modeling.- Atlas-based strategies.- Random forests.

Interactive Segmentation Techniques

Автор: Jia He; Chang-Su Kim; C.-C. Jay Kuo
Название: Interactive Segmentation Techniques
ISBN: 9814451592 ISBN-13(EAN): 9789814451598
Издательство: Springer
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Цена: 60940.00 T
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Описание: This book will first introduce classic graph-cut segmentation algorithms and then discuss state-of-the-art techniques, including graph matching methods, region merging and label propagation, clustering methods, and segmentation methods based on edge detection.


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