Data Management For Multimedia Retrieval

Author : K. Selçuk Candan
Publisher : Cambridge University Press
ISBN 13 : 1139489585
Total Pages : 513 pages
Book Rating : 4.84/5 ( download)

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Download or read book Data Management for Multimedia Retrieval written by K. Selçuk Candan and published by Cambridge University Press. This book was released on 2010-05-31 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Kasim Selçuk Candan
Publisher :
ISBN 13 : 9781107211636
Total Pages : 489 pages
Book Rating : 4.38/5 ( download)

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Download or read book Data Management for Multimedia Retrieval written by Kasim Selçuk Candan and published by . This book was released on 2010 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This comprehensive textbook presents data structures and algorithms for storing, indexing, clustering, classifying, and accessing common multimedia data representations"--Provided by publisher

Author : Henk M. Blanken
Publisher : Springer Science & Business Media
ISBN 13 : 3540728953
Total Pages : 384 pages
Book Rating : 4.55/5 ( download)

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Download or read book Multimedia Retrieval written by Henk M. Blanken and published by Springer Science & Business Media. This book was released on 2007-08-13 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : David Feng
Publisher : Springer Science & Business Media
ISBN 13 : 3662053004
Total Pages : 494 pages
Book Rating : 4.03/5 ( download)

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Download or read book Multimedia Information Retrieval and Management written by David Feng and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 494 pages. 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.

Author : Cram101 Textbook Reviews
Publisher : Academic Internet Pub Incorporated
ISBN 13 : 9781428847910
Total Pages : 166 pages
Book Rating : 4.1X/5 ( download)

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Download or read book Outlines and Highlights for Data Management for Multimedia Retrieval by Maria Luisasapino K Selã§Ukcandan, Isbn written by Cram101 Textbook Reviews and published by Academic Internet Pub Incorporated. This book was released on 2010-12 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Never HIGHLIGHT a Book Again! Virtually all of the testable terms, concepts, persons, places, and events from the textbook are included. Cram101 Just the FACTS101 studyguides give all of the outlines, highlights, notes, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanys: 9780521887397 .

Author : Stefanos Vrochidis
Publisher : John Wiley & Sons
ISBN 13 : 111937698X
Total Pages : 376 pages
Book Rating : 4.89/5 ( download)

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Download or read book Big Data Analytics for Large-Scale Multimedia Search written by Stefanos Vrochidis and published by John Wiley & Sons. This book was released on 2019-03-18 with total page 376 pages. 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.

Author : Edward Y. Chang
Publisher : Springer Science & Business Media
ISBN 13 : 3642204295
Total Pages : 300 pages
Book Rating : 4.96/5 ( download)

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Download or read book Foundations of Large-Scale Multimedia Information Management and Retrieval written by Edward Y. Chang and published by Springer Science & Business Media. This book was released on 2011-08-27 with total page 300 pages. 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.

Author : Sagarmay Deb
Publisher : IGI Global
ISBN 13 : 1591405718
Total Pages : 408 pages
Book Rating : 4.19/5 ( download)

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Download or read book Video Data Management and Information Retrieval written by Sagarmay Deb and published by IGI Global. This book was released on 2005-01-01 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book combines the two important areas of research within computer technology and presents them in comprehensive, easy to understand manner. Ideal for graduates and under-graduates, as well as researchers working in either video data management or information retrieval, it takes an in depth look at many relevant topics within both video data management and information retrieval. In addition to dissecting those issues, it also provides a "big picture" view of each topic.

Author : Mark T. Maybury
Publisher : John Wiley & Sons
ISBN 13 : 111821952X
Total Pages : 436 pages
Book Rating : 4.22/5 ( download)

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Download or read book Multimedia Information Extraction written by Mark T. Maybury and published by John Wiley & Sons. This book was released on 2012-07-11 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advent of increasingly large consumer collections of audio (e.g., iTunes), imagery (e.g., Flickr), and video (e.g., YouTube) is driving a need not only for multimedia retrieval but also information extraction from and across media. Furthermore, industrial and government collections fuel requirements for stock media access, media preservation, broadcast news retrieval, identity management, and video surveillance. While significant advances have been made in language processing for information extraction from unstructured multilingual text and extraction of objects from imagery and video, these advances have been explored in largely independent research communities who have addressed extracting information from single media (e.g., text, imagery, audio). And yet users need to search for concepts across individual media, author multimedia artifacts, and perform multimedia analysis in many domains. This collection is intended to serve several purposes, including reporting the current state of the art, stimulating novel research, and encouraging cross-fertilization of distinct research disciplines. The collection and integration of a common base of intellectual material will provide an invaluable service from which to teach a future generation of cross disciplinary media scientists and engineers.

Author : Paisarn Muneesawang
Publisher : Springer
ISBN 13 : 3319117823
Total Pages : 356 pages
Book Rating : 4.29/5 ( download)

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Download or read book Multimedia Database Retrieval written by Paisarn Muneesawang and published by Springer. This book was released on 2014-10-25 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores multimedia applications that emerged from computer vision and machine learning technologies. These state-of-the-art applications include MPEG-7, interactive multimedia retrieval, multimodal fusion, annotation, and database re-ranking. The application-oriented approach maximizes reader understanding of this complex field. Established researchers explain the latest developments in multimedia database technology and offer a glimpse of future technologies. The authors emphasize the crucial role of innovation, inspiring users to develop new applications in multimedia technologies such as mobile media, large scale image and video databases, news video and film, forensic image databases and gesture databases. With a strong focus on industrial applications along with an overview of research topics, Multimedia Database Retrieval: Technology and Applications is an indispensable guide for computer scientists, engineers and practitioners involved in the development and use of multimedia systems. It also serves as a secondary text or reference for advanced-level students interested in multimedia technologies.