Multimedia Information Storage and Retrieval: Techniques and Technologies PDF Download

Author: Tse, Philip K.C
Publisher: IGI Global
ISBN: 1599042274
Category : Computers
Languages : en
Pages : 420

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Book Description
"This book offers solutions to the challenges of storage and manipulation of a variety of media types providing data placement techniques, scheduling methods, caching techniques and emerging characteristics of multimedia information. Academicians, students, professionals and practitioners in the multimedia industry will benefit from this ground-breaking publication"--Provided by publisher.

Author: David Feng
Publisher: Springer Science & Business Media
ISBN: 3662053004
Category : Technology & Engineering
Languages : en
Pages : 494

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Book Description
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: Wei, Chia-Hung
Publisher: IGI Global
ISBN: 146660901X
Category : Language Arts & Disciplines
Languages : en
Pages : 398

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Book Description
"This book offers the latest research on retrieval and storage methods for digital library systems, a burgeoning field of data sourcing"--Provided by publisher.

Author: Gerald J. Kowalski
Publisher: Springer Science & Business Media
ISBN: 0306470314
Category : Computers
Languages : en
Pages : 323

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Book Description
Chapter 1 places into perspective a total Information Storage and Retrieval System. This perspective introduces new challenges to the problems that need to be theoretically addressed and commercially implemented. Ten years ago commercial implementation of the algorithms being developed was not realistic, allowing theoreticians to limit their focus to very specific areas. Bounding a problem is still essential in deriving theoretical results. But the commercialization and insertion of this technology into systems like the Internet that are widely being used changes the way problems are bounded. From a theoretical perspective, efficient scalability of algorithms to systems with gigabytes and terabytes of data, operating with minimal user search statement information, and making maximum use of all functional aspects of an information system need to be considered. The dissemination systems using persistent indexes or mail files to modify ranking algorithms and combining the search of structured information fields and free text into a consolidated weighted output are examples of potential new areas of investigation. The best way for the theoretician or the commercial developer to understand the importance of problems to be solved is to place them in the context of a total vision of a complete system. Understanding the differences between Digital Libraries and Information Retrieval Systems will add an additional dimension to the potential future development of systems. The collaborative aspects of digital libraries can be viewed as a new source of information that dynamically could interact with information retrieval techniques.

Author: Syed, Mahbubur Rahman
Publisher: IGI Global
ISBN: 1930708815
Category : Computers
Languages : en
Pages : 464

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Book Description
Multimedia technology has the potential to transform end user computing from interactive text and graphics models into something more compatible with the digital and electronic world of the new century. This book aims to help technology professionals gain an understanding and perspective on areas related to multimedia computing and communication, while addressing the major issues and challenges in the design and management of multimedia information systems.

Author: Peter Schäuble
Publisher: Springer Science & Business Media
ISBN: 9780792398998
Category : Computers
Languages : en
Pages : 214

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Book Description
Multimedia Information Retrieval: Content-Based Information Retrieval from Large Text and Audio Databases addresses the future need for sophisticated search techniques that will be required to find relevant information in large digital data repositories, such as digital libraries and other multimedia databases. Because of the dramatically increasing amount of multimedia data available, there is a growing need for new search techniques that provide not only fewer bits, but also the most relevant bits, to those searching for multimedia digital data. This book serves to bridge the gap between classic ranking of text documents and modern information retrieval where composite multimedia documents are searched for relevant information. Multimedia Information Retrieval: Content-Based Information Retrieval from Large Text and Audio Databases begins to pave the way for speech retrieval; only recently has the search for information in speech recordings become feasible. This book provides the necessary introduction to speech recognition while discussing probabilistic retrieval and text retrieval, key topics in classic information retrieval. The book then discusses speech retrieval, which is even more challenging than retrieving text documents because word boundaries are difficult to detect, and recognition errors affect the retrieval effectiveness. This book also addresses the problem of integrating information retrieval and database functions, since there is an increasing need for retrieving information from frequently changing data collections which are organized and managed by a database system. Multimedia Information Retrieval: Content-Based Information Retrieval from Large Text and Audio Databases serves as an excellent reference source and may be used as a text for advanced courses on the topic.

Author: V.S. Subrahmanian
Publisher: Springer Science & Business Media
ISBN: 9780792381815
Category : Computers
Languages : en
Pages : 150

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Book Description
Multimedia Information Systems brings together in one place important contributions and up-to-date research results in this fast moving area. Multimedia Information Systems serves as an excellent reference, providing insight into some of the most challenging research issues in the field.

Author: Roberto Raieli
Publisher: Elsevier
ISBN: 1780633882
Category : Business & Economics
Languages : en
Pages : 377

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Book Description
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

Author: Thomas, J. Joshua
Publisher: IGI Global
ISBN: 1799811948
Category : Computers
Languages : en
Pages : 355

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Book Description
Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there’s a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.

Author: Korfhage
Publisher: John Wiley & Sons
ISBN: 9788126507702
Category :
Languages : en
Pages : 370

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Book Description
Market_Desc: · Information Science Practitioner· Information Science Graduate Students Special Features: · First modern survey of the field of information storage and retrieval as it applies to the needs of our multimedia world· Focuses on the current issues in retrieval, such as the need to find and access non-text information like graphics and audio simply and quickly About The Book: This book covers the theory and practice of modern information storage and retrieval, with an emphasis on more recent advances in the field. In addition, because information retrieval has in recent years been done more by regular individuals and less by information specialists, the book's focus is on how to design and build systems that will be effective for the user (i.e. less arcane types of search techniques will save time for the user), while still providing the information in the format most easy to use for the user. Additional topics covered include privacy and the freedom of information, the requirements of a networked environment, and user profile modeling.