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 : 13 June 2021
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.

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.

Intelligent Multimedia Information Retrieval

Intelligent Multimedia Information Retrieval
  • Author : Karen Sparck Jones
  • Publisher : Aaai Press
  • Release : 13 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 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 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.

Readings in Information Retrieval

Readings in Information Retrieval
  • Author : Jones
  • Publisher : Morgan Kaufmann
  • Release : 13 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.

Indexing Multimedia and Creative Works

Indexing Multimedia and Creative Works
  • Author : Pauline Rafferty,Rob Hidderley
  • Publisher : Routledge
  • Release : 02 March 2017
GET THIS BOOKIndexing Multimedia and Creative Works

Indexing and information retrieval work properly only if language and interpretation are shared by creator and user. This is more complex for non-verbal media. The authors of Indexing Multimedia and Creative Works explore these challenges against a background of different theories of language and communication, particularly semiotics, questioning the possibility of ideal multimedia indexing. After surveying traditional approaches to information retrieval (IR) and organization in relation to issues of meaning, particularly Panofsky’s ’levels of meaning’, Pauline Rafferty and Rob

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

Information Retrieval

Information Retrieval
  • Author : Ayse Goker,John Davies
  • Publisher : John Wiley & Sons
  • Release : 15 December 2009
GET THIS BOOKInformation Retrieval

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

Distributed Multimedia Information Retrieval

Distributed Multimedia Information Retrieval
  • Author : Jamie Callan,Fabio Crestani,Mark Sanderson
  • Publisher : Springer Science & Business Media
  • Release : 26 January 2004
GET THIS BOOKDistributed Multimedia Information Retrieval

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

Distributed Multimedia Information Retrieval

Distributed Multimedia Information Retrieval
  • Author : Jamie Callan,Fabio Crestani,Mark Sanderson
  • Publisher : Springer
  • Release : 02 May 2011
GET THIS BOOKDistributed Multimedia Information Retrieval

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

Adaptive Multimedia Retrieval: Retrieval, User, and Semantics

Adaptive Multimedia Retrieval: Retrieval, User, and Semantics
  • Author : Nozha Boujemaa
  • Publisher : Springer Science & Business Media
  • Release : 01 July 2008
GET THIS BOOKAdaptive Multimedia Retrieval: Retrieval, User, and Semantics

This book constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Adaptive Multimedia Retrieval, AMR 2007, held in Paris, France, in July 2007. The 18 revised full papers presented together with 2 invited papers were carefully selected during two rounds of reviewing and improvement. The papers are organized in topical sections on image annotation, feedback and user modelling, music retrieval, fusion, P2P and middleware, databases and summarization, as well as ontology and semantics.

Web Semantics for Textual and Visual Information Retrieval

Web Semantics for Textual and Visual Information Retrieval
  • Author : Singh, Aarti,Dey, Nilanjan,Ashour, Amira S.,Santhi, V.
  • Publisher : IGI Global
  • Release : 22 February 2017
GET THIS BOOKWeb Semantics for Textual and Visual Information Retrieval

Modern society exists in a digital era in which high volumes of multimedia information exists. To optimize the management of this data, new methods are emerging for more efficient information retrieval. Web Semantics for Textual and Visual Information Retrieval is a pivotal reference source for the latest academic research on embedding and associating semantics with multimedia information to improve data retrieval techniques. Highlighting a range of pertinent topics such as automation, knowledge discovery, and social networking, this book is ideally

Multimedia Systems and Content-based Image Retrieval

Multimedia Systems and Content-based Image Retrieval
  • Author : Sagarmay Deb
  • Publisher : IGI Global
  • Release : 01 January 2004
GET THIS BOOKMultimedia Systems and Content-based Image Retrieval

Business intelligence has always been considered an essential ingredient for success. However, it is not until recently that the technology has enabled organizations to generate and deploy intelligence for global competition. These technologies can be leveraged to create the intelligent enterprises of the 21st century that will not only provide excellent and customized services to their customers, but will also create business efficiency for building relationships with suppliers and other business partners on a long term basis. Creating such intelligent