Multimedia Content Analysis and Mining, Nicu Sebe; Yuncai Liu; Yueting Zhuang; Thomas S. H
Автор: Gee James Paul Название: How to Do Discourse Analysis ISBN: 0415725585 ISBN-13(EAN): 9780415725583 Издательство: Taylor&Francis Рейтинг: Цена: 6583.00 р. Наличие на складе: Поставка под заказ.
Описание: How to do Discourse Analysis: A Toolkit is the essential guide to doing discourse analysis, from James Paul Gee, bestselling author of An Introduction to Discourse Analysis: Theory and Method. This second edition includes new examples, especially from digital media, a more user-friendly and accessible layout and a companion website.
Автор: Gee James Paul Название: Introduction to Discourse Analysis ISBN: 0415725569 ISBN-13(EAN): 9780415725569 Издательство: Taylor&Francis Рейтинг: Цена: 4224.00 р. Наличие на складе: Поставка под заказ.
Описание: Assuming no prior knowledge of linguistics, An Introduction to Discourse Analysis examines the field and presents James Paul Gee`s unique integrated approach which incorporates both a theory of language-in-use and a method of research.
Автор: Kathy McQuillen Martensen Название: Workbook for Radiographic Image Analysis ISBN: 0323280714 ISBN-13(EAN): 9780323280716 Издательство: Elsevier Science Рейтинг: Цена: 9283.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The companion workbook for Radiographic Analysis, 3rd Edition, provides you with ample opportunities to practice and apply information from the text. With study questions, additional suboptimal images for analysis, and an answer key to guide you through the problems, you'll have all the tools you need to hone your imaging and evaluation skills. Positioning and technique exercises prepare you for success in radiography practice.
Suboptimal images with questions ensure you know and understand what features need to be visible in an image and how to adjust when the images are incorrect or poor. Extra images offer additional practice with identifying poor quality images and recognizing how they are produced. Study questions reinforce text material and prepare you for certification.
NEW! More suboptimal images for analysis and correction help you hone your evaluation skills. NEW! Expansion of pediatric, obesity, and trauma sections provide pertinent information needed for clinical success.
Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.
Автор: Yihong Gong; Wei Xu Название: Machine Learning for Multimedia Content Analysis ISBN: 1441943536 ISBN-13(EAN): 9781441943538 Издательство: Springer Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Challenges in complexity and variability of multimedia data have led to revolutions in machine learning techniques. Multimedia data, such as digital images, audio streams and motion video programs, exhibit richer structures than simple, isolated data items. A number of pixels in a digital image collectively conveys certain visual content to viewers. A TV video program consists of both audio and image streams that unfold the underlying story. To recognize the visual content of a digital image, or to understand the underlying story of a video program, we may need to label sets of pixels or groups of image and audio frames jointly.
Machine Learning for Multimedia Content Analysis introduces machine learning techniques that are particularly powerful and effective for modeling spatial, temporal structures of multimedia data and for accomplishing common tasks of multimedia content analysis. This book systematically covers these techniques in an intuitive fashion and demonstrates their applications through case studies. This volume uses a large number of figures to illustrate and visualize complex concepts, and provides insights into the characteristics of many algorithms through examinations of their loss functions and straightforward comparisons.
Machine Learning for Multimedia Content Analysis is designed for an academic and professional audience. Researchers will find this book an invaluable tool for applying machine learning techniques to multimedia content analysis. This volume is also suitable for practitioners in industry.
Автор: Ohm Название: Multimedia Content Analysis ISBN: 3662528266 ISBN-13(EAN): 9783662528266 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook covers the theoretical backgrounds and practical aspects of image, video and audio feature expression, e.g., color, texture, edge, shape, salient point and area, motion, 3D structure, audio/sound in time, frequency and cepstral domains, structure and melody. Up-to-date algorithms for estimation, search, classification and compact expression of feature data are described in detail. Concepts of signal decomposition (such as segmentation, source tracking and separation), as well as composition, mixing, effects, and rendering, are discussed. Numerous figures and examples help to illustrate the aspects covered. The book was developed on the basis of a graduate-level university course, and most chapters are supplemented by problem-solving exercises. The book is also a self-contained introduction both for researchers and developers of multimedia content analysis systems in industry.
Автор: Nicola Adami; Andrea Cavallaro; Riccardo Leonardi; Название: Analysis, Retrieval and Delivery of Multimedia Content ISBN: 1489999426 ISBN-13(EAN): 9781489999429 Издательство: Springer Рейтинг: Цена: 25853.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers recent advances in analysis in all areas of image, video and audio applications, concentrating on Multimedia Content Analysis, Motion and Activity Analysis, High-Level Description and Video Retrieval, 3D and Multiview, and Multimedia Delivery.
Автор: Ajay Divakaran Название: Multimedia Content Analysis ISBN: 1441945679 ISBN-13(EAN): 9781441945679 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Capturing the most significant milestones in the multimedia field, this book consists of invited chapters that cover the entire range of the field. It includes unique coverage of multimedia content analysis based products described by pioneers in the field.
Автор: Zechao Li Название: Understanding-Oriented Multimedia Content Analysis ISBN: 9811036888 ISBN-13(EAN): 9789811036880 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers a systematic introduction to an understanding-oriented approach to multimedia content analysis. It integrates the visual understanding and learning models into a unified framework, within which the visual understanding guides the model learning while the learned models improve the visual understanding.
Описание: Churn prediction, recognition, and mitigation have become essential topics in various industries. As a means for forecasting and manageing risk, further research in this field can greatly assist companies in making informed decisions based on future possible scenarios.Developing Churn Models Using Data Mining Techniques and Social Network Analysis provides an in-depth analysis of attrition modeling relevant to business planning and management. Through its insightful and detailed explanation of best practices, tools, and theory surrounding churn prediction and the integration of analytics tools, this publication is especially relevant to managers, data specialists, business analysts, academicians, and upper-level students.
Автор: Husrev T. Sencar; Sergio Velastin; Nikolaos Nikola Название: Intelligent Multimedia Analysis for Security Applications ISBN: 3642117546 ISBN-13(EAN): 9783642117541 Издательство: Springer Рейтинг: Цена: 26122.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Focuses on analysis of multimedia data and multimedia applications with an emphasis on security. This book includes chapters highlighting concepts, issues and technologies. It covers various aspects, including not only some fundamental knowledge and the latest key techniques, but also typical applications and open issues.
Автор: Maytham H. Safar; Cyrus Shahabi Название: Shape Analysis and Retrieval of Multimedia Objects ISBN: 1461350336 ISBN-13(EAN): 9781461350330 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With the explosive growth of Multimedia Applications, the ability to index/retrieve multimedia objects in an efficient way is challenging to both researchers and practitioners. A major data type stored and managed by these applications is the representation of two dimensional (2D) objects. Objects contain many features (e.g., color, texture, and shape) that have meaningful semantics. From those features, shape is an important feature that conforms with the way human beings interpret and interact with the real world objects. The shape representation of objects can therefore be used for their indexing, retrieval and as similarity measure. The object databases can be queried and searched for different purposes. For example, a CAD application for manufacturing industrial parts might intend to reduce the cost of building new industrial parts by searching for reusable existing parts in a database. Regarding an alternative trademark registry application, one might need to ensure that a new registered trademark is sufficiently distinctive from the existing marks by searching the database. Therefore, one of the important functionalities required by all these applications is the capability to find objects in a database that match a given object. Traditional books on computer vision and informational retrieval are too general, and they do not provide advanced or specific information regarding shape analysis and recognition. Shape Analysis and Retrieval of Multimedia Objects provides a comprehensive survey of the most advanced and powerful shape retrieval techniques used in practice today. In addition, this monograph addresses key methodological issues for evaluation of the shape retrieval methods. Shape Analysis and Retrieval of Multimedia Objects is designed to meet the needs of practitioners and researchers in industry, and graduate-level students in Computer Science.
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