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Multimedia Information Retrieval

Multimedia Information Retrieval Book
Author : Roberto Raieli
Publisher : Elsevier
Release : 2013-07-31
ISBN : 1780633882
Language : En, Es, Fr & De

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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

Distributed Multimedia Information Retrieval

Distributed Multimedia Information Retrieval Book
Author : Jamie Callan,Fabio Crestani,Mark Sanderson
Publisher : Springer
Release : 2011-05-02
ISBN : 354024610X
Language : En, Es, Fr & De

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Book Description :

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.

Multimedia Information Storage and Retrieval Techniques and Technologies

Multimedia Information Storage and Retrieval  Techniques and Technologies Book
Author : Tse, Philip K.C
Publisher : IGI Global
Release : 2008-04-30
ISBN : 1599042274
Language : En, Es, Fr & De

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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.

Multimedia Information Retrieval

Multimedia Information Retrieval Book
Author : Peter Schäuble
Publisher : Springer Science & Business Media
Release : 2012-12-06
ISBN : 1461561639
Language : En, Es, Fr & De

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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.

Multimedia Information Retrieval and Management

Multimedia Information Retrieval and Management Book
Author : David Feng,W.C. Siu,Hong Jiang Zhang
Publisher : Springer Science & Business Media
Release : 2013-04-17
ISBN : 3662053004
Language : En, Es, Fr & De

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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.

Multimedia Information Retrieval

Multimedia Information Retrieval Book
Author : Stefan Rueger
Publisher : Morgan & Claypool Publishers
Release : 2010
ISBN : 160845097X
Language : En, Es, Fr & De

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Book Description :

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 Book
Author : Eduardo Quevedo
Publisher : BoD – Books on Demand
Release : 2021-06-02
ISBN : 183880059X
Language : En, Es, Fr & De

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Book Description :

Due to increasing globalization and the explosion of media available on the Internet, computer techniques to organize, classify, and find desired media are becoming more and more relevant. One such technique to extract semantic information from multimedia data sources is Multimedia Information Retrieval (MMIR or MIR). MIR is a broad area covering both structural issues and intelligent content analysis and retrieval. These aspects must be integrated into a seamless whole, which involves expertise from a wide variety of fields. This book presents recent applications of MIR for content-based image retrieval, bioinformation analysis and processing, forensic multimedia retrieval techniques, and audio and music classification.

Multimedia Information Retrieval

Multimedia Information Retrieval Book
Author : Association for Computing Machinery. Special Interest Group on Information Retrieval
Publisher : Unknown
Release : 2005
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Multimedia Information Retrieval book written by Association for Computing Machinery. Special Interest Group on Information Retrieval, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Multimedia Information Retrieval

Multimedia Information Retrieval Book
Author : Anonim
Publisher : Unknown
Release : 2001
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Multimedia Information Retrieval book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Multimedia Retrieval

Multimedia Retrieval Book
Author : Henk M. Blanken,Arjen P. de Vries,Henk Ernst Blok,Ling Feng
Publisher : Springer Science & Business Media
Release : 2007-08-13
ISBN : 3540728953
Language : En, Es, Fr & De

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Book Description :

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.

Information Retrieval for Music and Motion

Information Retrieval for Music and Motion Book
Author : Meinard Müller
Publisher : Springer Science & Business Media
Release : 2007-09-09
ISBN : 3540740481
Language : En, Es, Fr & De

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Book Description :

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.

Adaptive Multimedia Retrieval

Adaptive Multimedia Retrieval Book
Author : Andreas Nürnberger,Marcin Detyniecki
Publisher : Springer Science & Business Media
Release : 2004-06-16
ISBN : 3540221638
Language : En, Es, Fr & De

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Book Description :

This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Adaptive Multimedia Retrieval, AMR 2003, held in Hamburg, Germany in September 2003. The 12 revised full papers presented were carefully selected during two rounds of reviewing and improvement. Also included are three invited papers by leading researchers in the area to provide introductory and background information and to complete coverage of the relevant aspects. The papers are organized in topical sections on retrieval systems, texts and ontologies, feature extraction from video, image retrieval, and sound.

Multimedia Information Extraction

Multimedia Information Extraction Book
Author : Mark T. Maybury
Publisher : John Wiley & Sons
Release : 2012-07-11
ISBN : 111821952X
Language : En, Es, Fr & De

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Book Description :

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.

Foundations of Large Scale Multimedia Information Management and Retrieval

Foundations of Large Scale Multimedia Information Management and Retrieval Book
Author : Edward Y. Chang
Publisher : Springer Science & Business Media
Release : 2011-08-27
ISBN : 9783642204296
Language : En, Es, Fr & De

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Book Description :

"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.

Automated Metadata in Multimedia Information Systems

Automated Metadata in Multimedia Information Systems Book
Author : Michael G. Christel
Publisher : Morgan & Claypool Publishers
Release : 2009
ISBN : 1598297716
Language : En, Es, Fr & De

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Book Description :

Improvements in network bandwidth along with dramatic drops in digital storage and processing costs have resulted in the explosive growth of multimedia (combinations of text, image, audio, and video) resources on the Internet and in digital repositories. A suite of computer technologies delivering speech, image, and natural language understanding can automatically derive descriptive metadata for such resources. Difficulties for end users ensue, however, with the tremendous volume and varying quality of automated metadata for multimedia information systems. This lecture surveys automatic metadata creation methods for dealing with multimedia information resources, using broadcast news, documentaries, and oral histories as examples. Strategies for improving the utility of such metadata are discussed, including computationally intensive approaches, leveraging multimodal redundancy, folding in context, and leaving precision-recall tradeoffs under user control. Interfaces building from automatically generated metadata are presented, illustrating the use of video surrogates in multimedia information systems. Traditional information retrieval evaluation is discussed through the annual National Institute of Standards and Technology TRECVID forum, with experiments on exploratory search extending the discussion beyond fact-finding to broader, longer term search activities of learning, analysis, synthesis, and discovery. Table of Contents: Evolution of Multimedia Information Systems: 1990-2008 / Survey of Automatic Metadata Creation Methods / Refinement of Automatic Metadata / Multimedia Surrogates / End-User Utility for Metadata and Surrogates: Effectiveness, Efficiency, and Satisfaction

Multimedia Information Systems

Multimedia Information Systems Book
Author : V.S. Subrahmanian,Satish K. Tripathi
Publisher : Springer Science & Business Media
Release : 1998-06-30
ISBN : 9780792381815
Language : En, Es, Fr & De

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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.

Advances in Multimedia Information Retrieval

Advances in Multimedia Information Retrieval Book
Author : Institute of Electrical and Electronics Engineers
Publisher : Unknown
Release : 2008
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Advances in Multimedia Information Retrieval book written by Institute of Electrical and Electronics Engineers, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Intelligent Multimedia Information Retrieval

Intelligent Multimedia Information Retrieval Book
Author : Karen Sparck Jones
Publisher : Aaai Press
Release : 1997
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

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 Retrieval

Multimedia Information Retrieval Book
Author : Peter Schäuble
Publisher : Springer
Release : 2012-10-29
ISBN : 9781461378259
Language : En, Es, Fr & De

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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.