Multimedia Information Retrieval and Management

Multimedia Information Retrieval and Management
Author: David Feng,W.C. Siu,Hong Jiang Zhang
Publsiher: Springer Science & Business Media
Total Pages: 476
Release: 2013-04-17
ISBN 10: 3662053004
ISBN 13: 9783662053003
Language: EN, FR, DE, ES & NL

Multimedia Information Retrieval and Management Book Review:

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: Roberto Raieli
Publsiher: Elsevier
Total Pages: 376
Release: 2013-07-31
ISBN 10: 1780633882
ISBN 13: 9781780633886
Language: EN, FR, DE, ES & NL

Multimedia Information Retrieval Book Review:

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

Multimedia Information Retrieval

Multimedia Information Retrieval
Author: Stefan Rueger
Publsiher: Morgan & Claypool Publishers
Total Pages: 155
Release: 2010
ISBN 10: 160845097X
ISBN 13: 9781608450978
Language: EN, FR, DE, ES & NL

Multimedia Information Retrieval Book Review:

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
Publsiher: Elsevier
Total Pages: 376
Release: 2013-07-31
ISBN 10: 1780633882
ISBN 13: 9781780633886
Language: EN, FR, DE, ES & NL

Multimedia Information Retrieval Book Review:

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

Multimedia Information Retrieval

Multimedia Information Retrieval
Author: Peter Schäuble
Publsiher: Springer Science & Business Media
Total Pages: 190
Release: 1997-04-30
ISBN 10: 9780792398998
ISBN 13: 0792398998
Language: EN, FR, DE, ES & NL

Multimedia Information Retrieval Book Review:

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 Retrieval

Multimedia Retrieval
Author: Henk M. Blanken,Arjen P. de Vries,Henk Ernst Blok,Ling Feng
Publsiher: Springer Science & Business Media
Total Pages: 372
Release: 2007-08-13
ISBN 10: 3540728953
ISBN 13: 9783540728955
Language: EN, FR, DE, ES & NL

Multimedia Retrieval Book Review:

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
Publsiher: Aaai Press
Total Pages: 478
Release: 1997
ISBN 10:
ISBN 13: UOM:39015041092878
Language: EN, FR, DE, ES & NL

Intelligent Multimedia Information Retrieval Book Review:

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

Distributed Multimedia Information Retrieval

Distributed Multimedia Information Retrieval
Author: Jamie Callan,Fabio Crestani,Mark Sanderson
Publsiher: Springer Science & Business Media
Total Pages: 172
Release: 2004-01-26
ISBN 10: 3540208755
ISBN 13: 9783540208754
Language: EN, FR, DE, ES & NL

Distributed Multimedia Information Retrieval Book Review:

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 Extraction

Multimedia Information Extraction
Author: Mark T. Maybury
Publsiher: John Wiley & Sons
Total Pages: 496
Release: 2012-07-11
ISBN 10: 111821952X
ISBN 13: 9781118219522
Language: EN, FR, DE, ES & NL

Multimedia Information Extraction Book Review:

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.

Multimedia Information Storage and Retrieval Techniques and Technologies

Multimedia Information Storage and Retrieval  Techniques and Technologies
Author: Tse, Philip K.C
Publsiher: IGI Global
Total Pages: 420
Release: 2008-04-30
ISBN 10: 1599042274
ISBN 13: 9781599042275
Language: EN, FR, DE, ES & NL

Multimedia Information Storage and Retrieval Techniques and Technologies Book Review:

"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.

Readings in Information Retrieval

Readings in Information Retrieval
Author: Jones
Publsiher: Morgan Kaufmann
Total Pages: 589
Release: 1997
ISBN 10: 9781558604544
ISBN 13: 1558604545
Language: EN, FR, DE, ES & NL

Readings in Information Retrieval Book Review:

This compilation of original papers on information retrieval presents an overview, covering both general theory and specific methods, of the development and current status of information retrieval systems. Each chapter contains several papers carefully chosen to represent substantive research work that has been carried out in that area, each is preceded by an introductory overview and followed by supported references for further reading.

Information Retrieval

Information Retrieval
Author: Ayse Goker,John Davies
Publsiher: John Wiley & Sons
Total Pages: 320
Release: 2009-12-15
ISBN 10: 9780470033630
ISBN 13: 0470033630
Language: EN, FR, DE, ES & NL

Information Retrieval Book Review:

This book is an essential reference to cutting-edge issues and future directions in information retrieval Information retrieval (IR) can be defined as the process of representing, managing, searching, retrieving, and presenting information. Good IR involves understanding information needs and interests, developing an effective search technique, system, presentation, distribution and delivery. The increased use of the Web and wider availability of information in this environment led to the development of Web search engines. This change has brought fresh challenges to a wider variety of users’ needs, tasks, and types of information. Today, search engines are seen in enterprises, on laptops, in individual websites, in library catalogues, and elsewhere. Information Retrieval: Searching in the 21st Century focuses on core concepts, and current trends in the field. This book focuses on: Information Retrieval Models User-centred Evaluation of Information Retrieval Systems Multimedia Resource Discovery Image Users’ Needs and Searching Behaviour Web Information Retrieval Mobile Search Context and Information Retrieval Text Categorisation and Genre in Information Retrieval Semantic Search The Role of Natural Language Processing in Information Retrieval: Search for Meaning and Structure Cross-language Information Retrieval Performance Issues in Parallel Computing for Information Retrieval This book is an invaluable reference for graduate students on IR courses or courses in related disciplines (e.g. computer science, information science, human-computer interaction, and knowledge management), academic and industrial researchers, and industrial personnel tracking information search technology developments to understand the business implications. Intermediate-advanced level undergraduate students on IR or related courses will also find this text insightful. Chapters are supplemented with exercises to stimulate further thinking.

Data Management for Multimedia Retrieval

Data Management for Multimedia Retrieval
Author: K. Selçuk Candan,Maria Luisa Sapino
Publsiher: Cambridge University Press
Total Pages: 329
Release: 2010-05-31
ISBN 10: 1139489585
ISBN 13: 9781139489584
Language: EN, FR, DE, ES & NL

Data Management for Multimedia Retrieval Book Review:

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.

Handbook of Multimedia Information Retrieval

Handbook of Multimedia Information Retrieval
Author: Horst Eidenberger
Publsiher: Books on Demand
Total Pages: 660
Release: 2012
ISBN 10: 9783848222834
ISBN 13: 3848222833
Language: EN, FR, DE, ES & NL

Handbook of Multimedia Information Retrieval Book Review:

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.

Deep Learning Techniques and Optimization Strategies in Big Data Analytics

Deep Learning Techniques and Optimization Strategies in Big Data Analytics
Author: Thomas, J. Joshua,Karagoz, Pinar,Ahamed, B. Bazeer,Vasant, Pandian
Publsiher: IGI Global
Total Pages: 355
Release: 2019-11-29
ISBN 10: 1799811948
ISBN 13: 9781799811947
Language: EN, FR, DE, ES & NL

Deep Learning Techniques and Optimization Strategies in Big Data Analytics Book Review:

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.

Multimedia Information Retrieval

Multimedia Information Retrieval
Author: Anonim
Publsiher: Unknown
Total Pages: 74
Release: 2001
ISBN 10:
ISBN 13: UOM:39015055890696
Language: EN, FR, DE, ES & NL

Multimedia Information Retrieval Book Review:

Visual Information Retrieval

Visual Information Retrieval
Author: Alberto del Bimbo
Publsiher: Princeton University Press
Total Pages: 270
Release: 1999-06-17
ISBN 10: 9781558606241
ISBN 13: 1558606246
Language: EN, FR, DE, ES & NL

Visual Information Retrieval Book Review:

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.

Flexible Query Answering Systems 2015

Flexible Query Answering Systems 2015
Author: Troels Andreasen,Henning Christiansen,Janusz Kacprzyk,Henrik Larsen,Gabriella Pasi,Olivier Pivert,Guy De Tré,Maria Amparo Vila,Adnan Yazici,Sławomir Zadrożny
Publsiher: Springer
Total Pages: 494
Release: 2015-10-22
ISBN 10: 3319261541
ISBN 13: 9783319261546
Language: EN, FR, DE, ES & NL

Flexible Query Answering Systems 2015 Book Review:

This volume contains the papers presented at the Eleventh Flexible Query Answering Systems 2015 (FQAS-2015) held on October 26-28, 2015 in Cracow, Poland. The international conferences on Flexible Query Answering Systems (FQAS) are a series of premier conferences focusing on the key issue in the information society of providing easy, flexible, and intuitive access to information and knowledge to everybody, even people with a very limited computer literacy. In targeting this issue, the Conference draws on several research areas, such as information retrieval, database management, information filtering, knowledge representation, soft computing, management of multimedia information, and human-computer interaction. The Conference provides a unique opportunity for researchers, developers and practitioners to explore new ideas and approaches in a multidisciplinary forum.

Multimedia Information Retrieval

Multimedia Information Retrieval
Author: Stefan Rueger
Publsiher: Morgan & Claypool Publishers
Total Pages: 155
Release: 2010
ISBN 10: 160845097X
ISBN 13: 9781608450978
Language: EN, FR, DE, ES & NL

Multimedia Information Retrieval Book Review:

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.

State of the Art in Content Based Image and Video Retrieval

State of the Art in Content Based Image and Video Retrieval
Author: Remco C. Veltkamp,Hans Burkhardt,Hans-Peter Kriegel
Publsiher: Springer Science & Business Media
Total Pages: 345
Release: 2013-04-17
ISBN 10: 9401596646
ISBN 13: 9789401596640
Language: EN, FR, DE, ES & NL

State of the Art in Content Based Image and Video Retrieval Book Review:

Images and video play a crucial role in visual information systems and multimedia. There is an extraordinary number of applications of such systems in entertainment, business, art, engineering, and science. Such applications often involved large image and video collections, and therefore, searching for images and video in large collections is becoming an important operation. Because of the size of such databases, efficiency is crucial. We strongly believe that image and video retrieval need an integrated approach from fields such as image processing, shape processing, perception, database indexing, visualization, and querying, etc. This book contains a selection of results that was presented at the Dagstuhl Seminar on Content-Based Image and Video Retrieval, in December 1999. The purpose of this seminar was to bring together people from the various fields, in order to promote information exchange and interaction among researchers who are interested in various aspects of accessing the content of image and video data. The book provides an overview of the state of the art in content-based image and video retrieval. The topics covered by the chapters are integrated system aspects, as well as techniques from image processing, computer vision, multimedia, databases, graphics, signal processing, and information theory. The book will be of interest to researchers and professionals in the fields of multimedia, visual information (database) systems, computer vision, and information retrieval.