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Roadside Video Data Analysis: Deep Learning, Verma Brijesh, Zhang Ligang, Stockwell David


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Цена: 14635.00р.
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При оформлении заказа до: 2026-06-01
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Автор: Verma Brijesh, Zhang Ligang, Stockwell David
Название:  Roadside Video Data Analysis: Deep Learning
ISBN: 9789811351624
Издательство: Springer
Классификация:





ISBN-10: 9811351627
Обложка/Формат: Paperback
Страницы: 189
Вес: 0.31 кг.
Дата издания: 12.12.2018
Серия: Studies in computational intelligence
Язык: English
Издание: Softcover reprint of
Иллюстрации: 75 tables, color; 68 illustrations, color; 11 illustrations, black and white; xxv, 189 p. 79 illus., 68 illus. in color.
Размер: 23.39 x 15.60 x 1.17 cm
Читательская аудитория: Professional & vocational
Подзаголовок: Deep learning
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book highlights the methods and applications for roadside video data analysis, with a particular focus on the use of deep learning to solve roadside video data segmentation and classification problems.


Roadside Video Data Analysis

Автор: Brijesh Verma; Ligang Zhang; David Stockwell
Название: Roadside Video Data Analysis
ISBN: 9811045380 ISBN-13(EAN): 9789811045387
Издательство: Springer
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Цена: 14635.00 р.
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Описание: This book highlights the methods and applications for roadside video data analysis, with a particular focus on the use of deep learning to solve roadside video data segmentation and classification problems.

Design of Video Quality Metrics with Multi-Way Data Analysis: A Data Driven Approach

Автор: Keimel Christian
Название: Design of Video Quality Metrics with Multi-Way Data Analysis: A Data Driven Approach
ISBN: 9811091196 ISBN-13(EAN): 9789811091193
Издательство: Springer
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Цена: 12196.00 р.
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Описание: Introduction.- Video Quality.- Video Quality Metrics.- Data Analysis Approach.- Two-way Data Analysis.- Multi-way Data Analysis.- Model Building Considerations.- Designing Video Quality Metrics.- Performance Comparison.- Conclusion.

Information and Communication

Автор: Binxing Fang, Yan Jia
Название: Information and Communication
ISBN: 3110597845 ISBN-13(EAN): 9783110597844
Издательство: Walter de Gruyter
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Цена: 16169.00 р.
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Описание: The three volume set provides a systematic overview of theories and technique on social network analysis. Volume 3 of the set mainly focuses on the propagation models and evolution rules of information. Information retrieval and dissemination, topic discovery and evolution, algorithms of influence maximization are discussed in detail. It is an essential reference for scientist and professionals in computer science.

Design of Video Quality Metrics with Multi-Way Data Analysis

Автор: Christian Keimel
Название: Design of Video Quality Metrics with Multi-Way Data Analysis
ISBN: 9811002681 ISBN-13(EAN): 9789811002687
Издательство: Springer
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Цена: 15957.00 р.
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Описание: Introduction.- Video Quality.- Video Quality Metrics.- Data Analysis Approach.- Two-way Data Analysis.- Multi-way Data Analysis.- Model Building Considerations.- Designing Video Quality Metrics.- Performance Comparison.- Conclusion.

Big Data Analysis and Deep Learning Applications

Автор: Zin
Название: Big Data Analysis and Deep Learning Applications
ISBN: 9811308683 ISBN-13(EAN): 9789811308680
Издательство: Springer
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Цена: 21953.00 р.
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Описание:

Big data analysis.- Machine learning and applications.- Monitoring system by using image processing.- Conventional neural networks and its applications.- Information and communication.- Industrial information systems and applications.

Deep Learning for Medical Image Analysis

Автор: Zhou, Kevin
Название: Deep Learning for Medical Image Analysis
ISBN: 0128104082 ISBN-13(EAN): 9780128104088
Издательство: Elsevier Science
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Цена: 16505.00 р.
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Описание:

Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component have been applied to medical image detection, segmentation and registration, and computer-aided analysis, using a wide variety of application areas.

Deep Learning for Medical Image Analysis is a great learning resource for academic and industry researchers in medical imaging analysis, and for graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis.

Human Centric Visual Analysis with Deep Learning

Автор: Liang Lin
Название: Human Centric Visual Analysis with Deep Learning
ISBN: 9811323860 ISBN-13(EAN): 9789811323867
Издательство: Springer
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Цена: 17074.00 р.
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Описание: This book introduces the applications of deep learning in various human centric visual analysis tasks, including classical ones like face detection and alignment and some newly rising tasks like fashion clothing parsing. Starting from an overview of current research in human centric visual analysis, the book then presents a tutorial of basic concepts and techniques of deep learning. In addition, the book systematically investigates the main human centric analysis tasks of different levels, ranging from detection and segmentation to parsing and higher-level understanding.

At last, it presents the state-of-the-art solutions based on deep learning for every task, as well as providing sufficient references and extensive discussions. Specifically, this book addresses four important research topics, including 1) localizing persons in images, such as face and pedestrian detection; 2) parsing persons in details, such as human pose and clothing parsing, 3) identifying and verifying persons, such as face and human identification, and 4) high-level human centric tasks, such as person attributes and human activity understanding. This book can serve as reading material and reference text for academic professors / students or industrial engineers working in the field of vision surveillance, biometrics, and human-computer interaction, where human centric visual analysis are indispensable in analysing human identity, pose, attributes, and behaviours for further understanding.

Social Media Data Extraction and Content Analysis

Автор: Shalin Hai-Jew
Название: Social Media Data Extraction and Content Analysis
ISBN: 1522506489 ISBN-13(EAN): 9781522506485
Издательство: Mare Nostrum (Eurospan)
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Цена: 33403.00 р.
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Описание: Explores various social networking platforms and the technologies being utilized to gather and analyse information being posted to these venues. Highlighting emergent research, analytical techniques, and best practices in data extraction in global electronic culture, this publication is an essential reference source for researchers, academics, and professionals.

Statistical and econometric methods for transportation data analysis

Автор: Washington, Simon Mannering, Fred (university Of S
Название: Statistical and econometric methods for transportation data analysis
ISBN: 0367199025 ISBN-13(EAN): 9780367199029
Издательство: Taylor&Francis
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Цена: 19140.00 р.
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Описание: Describing tools commonly used in the field, this textbook provides an understanding of a broad range of analytical tools required to solve transportation problems. It includes a wide breadth of examples and case studies in various aspects of transportation planning, engineering, safety, and economics.

Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video

Автор: Isupova Olga
Название: Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video
ISBN: 303009250X ISBN-13(EAN): 9783030092504
Издательство: Springer
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Цена: 13415.00 р.
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Описание: The book introduces novel Bayesian topic models for detection of events that are different from typical activities and a novel framework for change point detection for identifying sudden behavioural changes.Behaviour analysis and anomaly detection are key components of intelligent vision systems.

Bridging the Semantic Gap in Image and Video Analysis

Автор: Kwa?nicka
Название: Bridging the Semantic Gap in Image and Video Analysis
ISBN: 3319738909 ISBN-13(EAN): 9783319738901
Издательство: Springer
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Цена: 6097.00 р.
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Описание:

Semantic Gap in Image and Video Analysis: An Introduction.- Low-Level Feature Detectors and Descriptors for Smart Image and Video Analysis: A Comparative Study.- Scale-insensitive MSER Features: A Promising Tool for Meaningful Segmentation of Images.- Active Partitions in Localization of Semantically Important Image Structures.- Model-based 3D Object recognition in RGB-D Images.- Ontology-Based Structured Video Annotation for Content-Based Video Retrieval via Spatiotemporal Reasoning.- Deep Learning - a New Era in Bridging the Semantic Gap.


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