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Download the fantastic book titled Principles of Visual Information Retrieval written by Michael S. Lew, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Principles of Visual Information Retrieval", which was released on 14 March 2013. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Principles of Visual Information Retrieval by Michael S. Lew PDF

This text introduces the basic concepts and techniques in VIR. In doing so, it develops a foundation for further research and study. Divided into two parts, the first part describes the fundamental principles. A chapter is devoted to each of the main features of VIR, such as colour, texture and shape-based search. There is coverage of search techniques for time-based image sequences or videos, and an overview of how to combine all the basic features described and integrate them into the search process. The second part looks at advanced topics such as multimedia query. This book is essential reading for researchers in VIR, and final-year undergraduate and postgraduate students on courses such as Multimedia Information Retrieval, Multimedia Databases, and others.


Detail About Principles of Visual Information Retrieval PDF

  • Author : Michael S. Lew
  • Publisher : Springer Science & Business Media
  • Genre : Computers
  • Total Pages : 366 pages
  • ISBN : 1447137027
  • PDF File Size : 26,5 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Principles of Visual Information Retrieval

Principles of Visual Information Retrieval
  • Publisher : Springer Science & Business Media
  • File Size : 28,7 Mb
  • Release Date : 14 March 2013
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This text introduces the basic concepts and techniques in VIR. In doing so, it develops a foundation for further research and study. Divided into two parts, the first part describes

Information Retrieval

Information Retrieval
  • Publisher : John Wiley & Sons
  • File Size : 30,6 Mb
  • Release Date : 15 December 2009
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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

Multimedia Information Retrieval

Multimedia Information Retrieval
  • Publisher : Elsevier
  • File Size : 26,6 Mb
  • Release Date : 31 July 2013
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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 (

Emergent Web Intelligence: Advanced Information Retrieval

Emergent Web Intelligence: Advanced Information Retrieval
  • Publisher : Springer Science & Business Media
  • File Size : 55,6 Mb
  • Release Date : 10 March 2010
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This volume reviews cutting-edge technologies and insights related to XML-based and multimedia information access and data retrieval. And by applying new techniques to real-world scenarios, it details how organizations can

Lectures on Information Retrieval

Lectures on Information Retrieval
  • Publisher : Springer
  • File Size : 48,9 Mb
  • Release Date : 15 May 2003
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Information Retrieval (IR) is concerned with the effective and efficient retrieval of information based on its semantic content. The central problem in IR is the quest to find the set

Semantic-Based Visual Information Retrieval

Semantic-Based Visual Information Retrieval
  • Publisher : IGI Global
  • File Size : 26,6 Mb
  • Release Date : 30 November 2006
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"This book presents state-of-the-art advancements and developments in the field, and also brings a selection of techniques and algorithms about semantic-based visual information retrieval. It covers many critical issues, such

Robust Computer Vision

Robust Computer Vision
  • Publisher : Springer Science & Business Media
  • File Size : 35,5 Mb
  • Release Date : 29 June 2013
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From the foreword by Thomas Huang: "During the past decade, researchers in computer vision have found that probabilistic machine learning methods are extremely powerful. This book describes some of these

Visual Information Retrieval

Visual Information Retrieval
  • Publisher : Princeton University Press
  • File Size : 37,8 Mb
  • Release Date : 03 June 1999
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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

Advances in Visual Information Systems

Advances in Visual Information Systems
  • Publisher : Springer
  • File Size : 20,6 Mb
  • Release Date : 18 November 2007
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This book constitutes the thoroughly refereed post-proceedings of the 9th International Conference on Visual Information Systems, VISUAL 2007, held in Shanghai, China, in June 2007. The papers are organized in topical section