November 30, 2020

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Multimedia Information Retrieval

Multimedia Information Retrieval
Author : Stefan Rueger
Publisher : Morgan & Claypool Publishers
Release Date : 2010
Category : Computers
Total pages :155
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Supporting users in their resource discovery mission when hunting for multimedia material is not a technological indexing problem alone. We look at interactiveways of engaging with repositories through browsing and relevance feedback, roping in geographical context, and providing visual summaries for videos. The book concludes with an overview of state-of-the-art research projects in the area of multimedia information retrieval, which gives an indication of the research and development trends and, thereby, a glimpse of the future world.

Multimedia Information Retrieval

Multimedia Information Retrieval
Author : Roberto Raieli
Publisher : Elsevier
Release Date : 2013-07-31
Category : Language Arts & Disciplines
Total pages :376
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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

Handbook of Multimedia Information Retrieval

Handbook of Multimedia Information Retrieval
Author : Horst Eidenberger
Publisher : BoD – Books on Demand
Release Date : 2012
Category :
Total pages :660
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Multimedia information retrieval: That is the desire to make computers see, hear and understand like humans do. Is it possible to give perception to machines, to make them understand facial expressions, hummed melodies, stock charts and ECG curves? If yes, the computer would become an even more valuable companion in business and private life. Think of the possibilities in, for example, healthcare, home security, online customer support or market analysis. This book explains what is possible in multimedia information retrieval today and what is not. We introduce the basic concepts, explain why the first step is always summarization and the second classification, which is essentially applying human understanding of some context on the summary. We group and discuss the various methods that have been proposed for the summarization of audio, visual and other media information. In classification, we build on today's psychological understanding of human cognition. Successfully, we transfer concepts of human similarity perception on machine classification. We cluster machine learning methods by their approach, model and process. On top of that, we link back from the state of the art methods of multimedia information retrieval to human cognition: We propose artificial neural structures for the building blocks of media summarization and classification. The result is a balanced introduction into the field that starts from graduate IT knowledge and ends at the current frontiers of multimedia research.

Multimedia Information Retrieval and Management

Multimedia Information Retrieval and Management
Author : David Feng,W.C. Siu,Hong Jiang Zhang
Publisher : Springer Science & Business Media
Release Date : 2013-04-17
Category : Technology & Engineering
Total pages :476
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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.

Multimedia Information Retrieval

Multimedia Information Retrieval
Author : Peter Schäuble
Publisher : Springer Science & Business Media
Release Date : 1997-04-30
Category : Computers
Total pages :190
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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.

Multimedia Information Storage and Retrieval: Techniques and Technologies

Multimedia Information Storage and Retrieval: Techniques and Technologies
Author : Tse, Philip K.C
Publisher : IGI Global
Release Date : 2008-04-30
Category : Computers
Total pages :420
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"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.

Multimedia Retrieval

Multimedia Retrieval
Author : Henk M. Blanken,Arjen P. de Vries,Henk Ernst Blok,Ling Feng
Publisher : Springer Science & Business Media
Release Date : 2007-08-13
Category : Computers
Total pages :372
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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.

Intelligent Multimedia Information Retrieval

Intelligent Multimedia Information Retrieval
Author : Karen Sparck Jones
Publisher : Aaai Press
Release Date : 1997
Category : Computers
Total pages :478
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Foreword by Karen Spärck Jones Intelligent multimedia information retrieval lies at the intersection of artificial intelligence, information retrieval, human-computer interaction, and multimedia computing. Its systems enable users to create, process, summarize, present, interact with, and organize information within and across different media such as text, speech, graphics, imagery, and video. These systems go beyond traditional hypermedia and hypertext environments to analyze and generate media, and support intelligent interaction with or via multiple media. The chapters of this volume, which grew out of the 1995 International Joint Conference on Artificial Intelligence Workshop on Intelligent Multimedia Information Retrieval, span a broad range of topics. The book is organized into seven sections: Content-Based Retrieval of Imagery, Content-Based Retrieval of Graphics and Audio, Content-Based Retrieval of Video, Speech and Language Processing for Video Retrieval, Architectures and Tools, Intelligent Hypermedia Retrieval, and Empirical Evaluations. Contributors Robert Adams, Phillipe Aigrain, Jonathan Ashley, Thom Blum, Shih-Fu Chang, Mei C. Chuah, W. Bruce Croft, Byron Dom, Ann Doubleday, Florence Dubois, Josef Fink, Myron Flickner, Jonathan Foote, Brian Frew, Monika Gorkani, Morgan Green, James Griffioen, Jon Alte Gulla, Jim Hafner, Qian Hang, Matt Hare, Alexander G. Hauptman, Stacie Hibino, Helmut Horacek, David House, Takafumi Inoue, Philippe Joly, Gareth Jones, Karen Spärck Jones, Douglas Keislaer, Stephen Kerpedjiev, Alfred Kobsa, Denis Lee, Véronique Longueville, Chien Yong Low, R. Manmatha, Inderjeet Mani, Mark T. Maybury, Bernard Mérialdo, Adrian Müller, Wayne Niblac, Andreas Nill, Alex Pentland, Dragutin Petkovic, Steven F. Roth, Neil C. Rowe, Elke A. Rundensteiner, Harpreet Sawhney, John R. Smith, Stephen W. Smoliar, David Steele, Adelheit Stein, Oliviero Stock, Carlo Strapparava, Alistair Sutcliffe, Atshushi Takeshita, Kazuo Tanaka, Ulrich Thiel, Michele Ryan, Julita Vassileva, James Wheaton, Michael J. Witbrock, Erling Wold, JianHua Wu, Peter Yanker, Rajendra Yavatkar, Steven J. Young, Massimo Zancanaro, HongJiang Zhang

Multimedia Information Extraction

Multimedia Information Extraction
Author : Mark T. Maybury
Publisher : John Wiley & Sons
Release Date : 2012-07-11
Category : Computers
Total pages :496
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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 alsoinformation extraction from and across media. Furthermore,industrial and government collections fuel requirements for stockmedia access, media preservation, broadcast news retrieval,identity management, and video surveillance. Whilesignificant advances have been made in language processing forinformation extraction from unstructured multilingual text andextraction of objects from imagery and video, these advances havebeen explored in largely independent research communities who haveaddressed extracting information from single media (e.g., text,imagery, audio). And yet users need to search for conceptsacross individual media, author multimedia artifacts, and performmultimedia analysis in many domains. This collection is intended to serve several purposes, includingreporting the current state of the art, stimulating novel research,and encouraging cross-fertilization of distinct researchdisciplines. The collection and integration of a common base ofintellectual material will provide an invaluable service from whichto teach a future generation of cross disciplinary media scientistsand engineers.

Visual Information Retrieval

Visual Information Retrieval
Author : Alberto del Bimbo
Publisher : Princeton University Press
Release Date : 1999-06-17
Category : Computers
Total pages :270
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The increasing use of multimedia in computer applications has increased the relevance of visual databases. These databases now need new methods for archiving and retrieving information, and this text concentrates on meeting such a need.

Distributed Multimedia Information Retrieval

Distributed Multimedia Information Retrieval
Author : Jamie Callan,Fabio Crestani,Mark Sanderson
Publisher : Springer Science & Business Media
Release Date : 2004-01-26
Category : Business & Economics
Total pages :172
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During recent years, huge efforts have been made to establish digital libraries, in a variety of media, offered from a variety of sources, and intended for a variety of professional and private user communities. As digital data collections proliferate, problems of resource selection and data fusion become major issues. Traditional search engines, even the best ones, are unable to provide access to the hidden web of information that is only available via digital library search interfaces. Originating from the SIGIR 2003 Workshop on Distributed Information Retrieval, held in Toronto, Canada in August 2003, this book presents extended and revised workshop papers as well as several invited papers on the topic to round off coverage of the core issues. The papers are devoted to recent research on the design and implementation of methods and tools for resource discovery, resource description, resource selection, data fusion, and user interaction.

Information Retrieval for Music and Motion

Information Retrieval for Music and Motion
Author : Meinard Müller
Publisher : Springer Science & Business Media
Release Date : 2007-09-09
Category : Computers
Total pages :318
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Content-based multimedia retrieval is a challenging research field with many unsolved problems. This monograph details concepts and algorithms for robust and efficient information retrieval of two different types of multimedia data: waveform-based music data and human motion data. It first examines several approaches in music information retrieval, in particular general strategies as well as efficient algorithms. The book then introduces a general and unified framework for motion analysis, retrieval, and classification, highlighting the design of suitable features, the notion of similarity used to compare data streams, and data organization.

Foundations of Large-Scale Multimedia Information Management and Retrieval

Foundations of Large-Scale Multimedia Information Management and Retrieval
Author : Edward Y. Chang
Publisher : Springer Science & Business Media
Release Date : 2011-08-27
Category : Computers
Total pages :291
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"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.

Knowledge-Based Intelligent Information and Engineering Systems

Knowledge-Based Intelligent Information and Engineering Systems
Author : Mircea Gh. Negoita,Robert J. Howlett,L. C. Jain
Publisher : Springer Science & Business Media
Release Date : 2004-09-20
Category : Business & Economics
Total pages :910
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The three-volume set LNAI 3213, LNAI 3214, and LNAI 3215 constitutes the refereed proceedings of the 8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2004, held in Wellington, New Zealand in September 2004. The over 450 papers presented were carefully reviewed and selected from numerous submissions. The papers present a wealth of original research results from the field of intelligent information processing in the broadest sense; among the areas covered are artificial intelligence, computational intelligence, cognitive technologies, soft computing, data mining, knowledge processing, various new paradigms in biologically inspired computing, and applications in various domains like bioinformatics, finance, signal processing etc.

Multimedia Information Systems

Multimedia Information Systems
Author : V.S. Subrahmanian,Satish K. Tripathi
Publisher : Springer Science & Business Media
Release Date : 1998-06-30
Category : Computers
Total pages :144
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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.