Multimedia Information Retrieval

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

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  • Author : Roberto Raieli
  • Publisher : Elsevier
  • Pages : 376 pages
  • ISBN : 1780633882
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKMultimedia Information Retrieval

Multimedia Information Retrieval

Multimedia Information Retrieval
  • Author : Roberto Raieli
  • Publisher : Elsevier
  • Release : 31 July 2013
GET THIS BOOKMultimedia Information Retrieval

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

Multimedia Information Retrieval

Multimedia Information Retrieval
  • Author : Stefan Rueger
  • Publisher : Morgan & Claypool Publishers
  • Release : 27 June 2022
GET THIS BOOKMultimedia Information Retrieval

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.

Intelligent Multimedia Information Retrieval

Intelligent Multimedia Information Retrieval
  • Author : Karen Sparck Jones
  • Publisher : Aaai Press
  • Release : 27 June 1997
GET THIS BOOKIntelligent Multimedia Information Retrieval

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

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 : 17 April 2013
GET THIS BOOKMultimedia Information Retrieval and Management

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 Retrieval

Multimedia Retrieval
  • Author : Henk M. Blanken,Arjen P. de Vries,Henk Ernst Blok,Ling Feng
  • Publisher : Springer Science & Business Media
  • Release : 13 August 2007
GET THIS BOOKMultimedia Retrieval

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

Multimedia Information Retrieval

Multimedia Information Retrieval
  • Author : Peter Schäuble
  • Publisher : Springer Science & Business Media
  • Release : 30 April 1997
GET THIS BOOKMultimedia Information Retrieval

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

Readings in Information Retrieval

Readings in Information Retrieval
  • Author : Jones
  • Publisher : Morgan Kaufmann
  • Release : 27 June 1997
GET THIS BOOKReadings in Information Retrieval

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 for Music and Motion

Information Retrieval for Music and Motion
  • Author : Meinard Müller
  • Publisher : Springer Science & Business Media
  • Release : 09 September 2007
GET THIS BOOKInformation Retrieval for Music and Motion

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

Multimedia Information Extraction

Multimedia Information Extraction
  • Author : Mark T. Maybury
  • Publisher : John Wiley & Sons
  • Release : 11 July 2012
GET THIS BOOKMultimedia Information Extraction

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

Intelligent Multimedia Databases and Information Retrieval: Advancing Applications and Technologies

Intelligent Multimedia Databases and Information Retrieval: Advancing Applications and Technologies
  • Author : Yan, Li
  • Publisher : IGI Global
  • Release : 30 September 2011
GET THIS BOOKIntelligent Multimedia Databases and Information Retrieval: Advancing Applications and Technologies

As consumer costs for multimedia devices such as digital cameras and Web phones have decreased and diversity in the market has skyrocketed, the amount of digital information has grown considerably. Intelligent Multimedia Databases and Information Retrieval: Advancing Applications and Technologies details the latest information retrieval technologies and applications, the research surrounding the field, and the methodologies and design related to multimedia databases. Together with academic researchers and developers from both information retrieval and artificial intelligence fields, this book details issues

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 : 27 August 2011
GET THIS BOOKFoundations of Large-Scale Multimedia Information Management and Retrieval

"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

Design and Management of Multimedia Information Systems: Opportunities and Challenges

Design and Management of Multimedia Information Systems: Opportunities and Challenges
  • Author : Syed, Mahbubur Rahman
  • Publisher : IGI Global
  • Release : 01 July 2000
GET THIS BOOKDesign and Management of Multimedia Information Systems: Opportunities and Challenges

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.

Perspectives on Content-Based Multimedia Systems

Perspectives on Content-Based Multimedia Systems
  • Author : Jian Kang Wu,Mohan S. Kankanhalli,Joo-Hwee Lim,Dezhong Hong
  • Publisher : Springer Science & Business Media
  • Release : 11 April 2006
GET THIS BOOKPerspectives on Content-Based Multimedia Systems

Multimedia data comprising of images, audio and video is becoming increasingly common. The decreasing costs of consumer electronic devices such as digital cameras and digital camcorders, along with the ease of transportation facilitated by the Internet, has lead to a phenomenal rise in the amount of multimedia data generated and distributed. Given that this trend of increased use of multimedia data is likely to accelerate, there is an urgent need for providing a clear means of capturing, storing, indexing, retrieving,

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 : 30 April 2008
GET THIS BOOKMultimedia Information Storage and Retrieval: Techniques and Technologies

"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.

Intelligent Analysis of Multimedia Information

Intelligent Analysis of Multimedia Information
  • Author : Bhattacharyya, Siddhartha,Bhaumik, Hrishikesh,De, Sourav,Klepac, Goran
  • Publisher : IGI Global
  • Release : 13 July 2016
GET THIS BOOKIntelligent Analysis of Multimedia Information

Multimedia represents information in novel and varied formats. One of the most prevalent examples of continuous media is video. Extracting underlying data from these videos can be an arduous task. From video indexing, surveillance, and mining, complex computational applications are required to process this data. Intelligent Analysis of Multimedia Information is a pivotal reference source for the latest scholarly research on the implementation of innovative techniques to a broad spectrum of multimedia applications by presenting emerging methods in continuous media