Multimedia Information Retrieval and Management - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multimedia Information Retrieval and Management write by David Feng. This book was released on 2013-04-17. Multimedia Information Retrieval and Management available in PDF, EPUB and Kindle. 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.
Foundations of Large-Scale Multimedia Information Management and Retrieval
Foundations of Large-Scale Multimedia Information Management and Retrieval - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Foundations of Large-Scale Multimedia Information Management and Retrieval write by Edward Y. Chang. This book was released on 2011-08-27. Foundations of Large-Scale Multimedia Information Management and Retrieval available in PDF, EPUB and Kindle. "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.
Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications
Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications write by Management Association, Information Resources. This book was released on 2018-01-05. Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications available in PDF, EPUB and Kindle. With the increased use of technology in modern society, high volumes of multimedia information exists. It is important for businesses, organizations, and individuals to understand how to optimize this data and new methods are emerging for more efficient information management and retrieval. Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications is an innovative reference source for the latest academic material in the field of information and communication technologies and explores how complex information systems interact with and affect one another. Highlighting a range of topics such as knowledge discovery, semantic web, and information resources management, this multi-volume book is ideally designed for researchers, developers, managers, strategic planners, and advanced-level students.
Data Management for Multimedia Retrieval
Data Management for Multimedia Retrieval - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Management for Multimedia Retrieval write by K. Selçuk Candan. This book was released on 2010-05-31. Data Management for Multimedia Retrieval available in PDF, EPUB and Kindle. Multimedia data require specialised management techniques because the representations of colour, time, semantic concepts, and other underlying information can be drastically different from one another. This textbook on multimedia data management techniques gives a unified perspective on retrieval efficiency and effectiveness. It provides a comprehensive treatment, from basic to advanced concepts, that will be useful to readers of different levels, from advanced undergraduate and graduate students to researchers and to professionals. After introducing models for multimedia data (images, video, audio, text, and web) and for their features, such as colour, texture, shape, and time, the book presents data structures and algorithms that help store, index, cluster, classify, and access common data representations. The authors also introduce techniques, such as relevance feedback and collaborative filtering, for bridging the 'semantic gap' and present the applications of these to emerging topics, including web and social networking.
Multimedia Retrieval
Multimedia Retrieval - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multimedia Retrieval write by Henk M. Blanken. This book was released on 2007-08-13. Multimedia Retrieval available in PDF, EPUB and Kindle. Based on more than 10 years of teaching experience, Blanken and his coeditors have assembled all the topics that should be covered in advanced undergraduate or graduate courses on multimedia retrieval and multimedia databases. The single chapters of this textbook explain the general architecture of multimedia information retrieval systems and cover various metadata languages such as Dublin Core, RDF, or MPEG. The authors emphasize high-level features and show how these are used in mathematical models to support the retrieval process. For each chapter, there’s detail on further reading, and additional exercises and teaching material is available online.
