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Foundations of Large-Scale Multimedia Information Management and Retrieval

2011-08-27 Computers
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Release : 2011-08-27
Genre : Computers
Kind : eBook
Book Rating : 295/5 ( reviews)

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Book Synopsis Foundations of Large-Scale Multimedia Information Management and Retrieval by : Edward Y. Chang

Download or read book Foundations of Large-Scale Multimedia Information Management and Retrieval written by Edward Y. Chang. This book was released on 2011-08-27. Available in PDF, EPUB and Kindle. Book excerpt: "Foundations of Large-Scale Multimedia Information Management and Retrieval: Mathematics of Perception" covers knowledge representation and semantic analysis of multimedia data and scalability in signal extraction, data mining, and indexing. The book is divided into two parts: Part I - Knowledge Representation and Semantic Analysis focuses on the key components of mathematics of perception as it applies to data management and retrieval. These include feature selection/reduction, knowledge representation, semantic analysis, distance function formulation for measuring similarity, and multimodal fusion. Part II - Scalability Issues presents indexing and distributed methods for scaling up these components for high-dimensional data and Web-scale datasets. The book presents some real-world applications and remarks on future research and development directions. The book is designed for researchers, graduate students, and practitioners in the fields of Computer Vision, Machine Learning, Large-scale Data Mining, Database, and Multimedia Information Retrieval. Dr. Edward Y. Chang was a professor at the Department of Electrical & Computer Engineering, University of California at Santa Barbara, before he joined Google as a research director in 2006. Dr. Chang received his M.S. degree in Computer Science and Ph.D degree in Electrical Engineering, both from Stanford University.

Multimedia Information Retrieval and Management

2013-04-17 Technology & Engineering
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Release : 2013-04-17
Genre : Technology & Engineering
Kind : eBook
Book Rating : 004/5 ( reviews)

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Book Synopsis Multimedia Information Retrieval and Management by : David Feng

Download or read book Multimedia Information Retrieval and Management written by David Feng. This book was released on 2013-04-17. Available in PDF, EPUB and Kindle. Book excerpt: Everything you ever wanted to know about multimedia retrieval and management. This comprehensive book offers a full picture of the cutting-edge technologies necessary for a profound introduction to the field. Leading experts also cover a broad range of practical applications.

Big Data Analytics for Large-Scale Multimedia Search

2019-05-28 Technology & Engineering
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Release : 2019-05-28
Genre : Technology & Engineering
Kind : eBook
Book Rating : 971/5 ( reviews)

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Book Synopsis Big Data Analytics for Large-Scale Multimedia Search by : Stefanos Vrochidis

Download or read book Big Data Analytics for Large-Scale Multimedia Search written by Stefanos Vrochidis. This book was released on 2019-05-28. Available in PDF, EPUB and Kindle. Book excerpt: A timely overview of cutting edge technologies for multimedia retrieval with a special emphasis on scalability The amount of multimedia data available every day is enormous and is growing at an exponential rate, creating a great need for new and more efficient approaches for large scale multimedia search. This book addresses that need, covering the area of multimedia retrieval and placing a special emphasis on scalability. It reports the recent works in large scale multimedia search, including research methods and applications, and is structured so that readers with basic knowledge can grasp the core message while still allowing experts and specialists to drill further down into the analytical sections. Big Data Analytics for Large-Scale Multimedia Search covers: representation learning, concept and event-based video search in large collections; big data multimedia mining, large scale video understanding, big multimedia data fusion, large-scale social multimedia analysis, privacy and audiovisual content, data storage and management for big multimedia, large scale multimedia search, multimedia tagging using deep learning, interactive interfaces for big multimedia and medical decision support applications using large multimodal data. Addresses the area of multimedia retrieval and pays close attention to the issue of scalability Presents problem driven techniques with solutions that are demonstrated through realistic case studies and user scenarios Includes tables, illustrations, and figures Offers a Wiley-hosted BCS that features links to open source algorithms, data sets and tools Big Data Analytics for Large-Scale Multimedia Search is an excellent book for academics, industrial researchers, and developers interested in big multimedia data search retrieval. It will also appeal to consultants in computer science problems and professionals in the multimedia industry.

Multimedia Information Retrieval

2013-07-31 Business & Economics
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Release : 2013-07-31
Genre : Business & Economics
Kind : eBook
Book Rating : 882/5 ( reviews)

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Book Synopsis Multimedia Information Retrieval by : Roberto Raieli

Download or read book Multimedia Information Retrieval written by Roberto Raieli. This book was released on 2013-07-31. Available in PDF, EPUB and Kindle. Book excerpt: Novel processing and searching tools for the management of new multimedia documents have developed. Multimedia Information Retrieval (MIR) is an organic system made up of Text Retrieval (TR); Visual Retrieval (VR); Video Retrieval (VDR); and Audio Retrieval (AR) systems. So that each type of digital document may be analysed and searched by the elements of language appropriate to its nature, search criteria must be extended. Such an approach is known as the Content Based Information Retrieval (CBIR), and is the core of MIR. This novel content-based concept of information handling needs to be integrated with more traditional semantics. Multimedia Information Retrieval focuses on the tools of processing and searching applicable to the content-based management of new multimedia documents. Translated from Italian by Giles Smith, the book is divided into two parts. Part one discusses MIR and related theories, and puts forward new methodologies; part two reviews various experimental and operating MIR systems, and presents technical and practical conclusions. Gives a complete, organic picture of MIR and CBIR Proposes a novel conceptualisation around the ideas of Information Retrieval (IR) and digital document management in the context of Library and Information Science (LIS) Relevant for both library and information science and information technology specialists

Big-Data Analytics and Cloud Computing

2016-01-12 Computers
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Release : 2016-01-12
Genre : Computers
Kind : eBook
Book Rating : 131/5 ( reviews)

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Book Synopsis Big-Data Analytics and Cloud Computing by : Marcello Trovati

Download or read book Big-Data Analytics and Cloud Computing written by Marcello Trovati. This book was released on 2016-01-12. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Illuminating perspectives from both academia and industry are presented by an international selection of experts in big data science. Topics and features: describes the innovative advances in theoretical aspects of big data, predictive analytics and cloud-based architectures; examines the applications and implementations that utilize big data in cloud architectures; surveys the state of the art in architectural approaches to the provision of cloud-based big data analytics functions; identifies potential research directions and technologies to facilitate the realization of emerging business models through big data approaches; provides relevant theoretical frameworks, empirical research findings, and numerous case studies; discusses real-world applications of algorithms and techniques to address the challenges of big datasets.

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