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Visual Indexing and Retrieval

  • Book
  • © 2012

Overview

Authors:
  1. Jenny Benois-Pineau

    1. University Bordeaux 1, LABRI UMR 58000, Talence, France

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  2. Frédéric Precioso

    1. , Signaux et Systèmes de, Laboratoire d'Informatique, Sophia Antipolis Cedex, France

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  3. Matthieu Cord

    1. CNRS (UMR 7606), Laboratoire d’Informatique, Université Paris XI, Paris, France

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Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-viii
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  2. Introduction

    • Jenny Benois-Pineau, Frédéric Precioso, Matthieu Cord
    Pages 1-3

  3. Visual feature extraction and description

    • Khalifa Djemal, Jean-Pierre Cocquerez, Frédéric Precioso
    Pages 5-20

  4. Machine learning approaches for visual information retrieval

    • Frédéric Precioso, Matthieu Cord
    Pages 21-40

  5. Spatial and multi-resolution context in visual indexing

    • Jenny Benois-Pineau, Aurélie Bugeau, Svebor Karaman, Rémi Mégret
    Pages 41-63

  6. Scalability issues in visual information retrieval

    • Michel Crucianu, Jenny Benois-Pineau
    Pages 65-81

  7. Evaluation of visual information indexing and retrieval

    • Georges Quénot, Philippe Joly, Jenny Benois-Pineau
    Pages 83-96

  8. Back Matter

    Pages 97-107
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Keywords

About this book

The research in content-based indexing and retrieval of visual information such as images and video has become one of the most populated directions in the vast area of information technologies. Social networks such as YouTube, Facebook, FileMobile, and DailyMotion host and supply facilities for accessing a tremendous amount of professional and user generated data. The areas of societal activity, such as, video protection and security, also generate thousands and thousands of terabytes of visual content. This book presents the most recent results and important trends in visual information indexing and retrieval. It is intended for young researchers, as well as, professionals looking for an algorithmic solution to a problem.

Reviews

From the reviews:

“The book presents a detailed review of the cutting-edge approaches in visual indexing and visual information retrieval. It provides recipes for a practitioner who is keen to implement these techniques. … The book also carefully develops a way of building a multi-scale graph, based on the multisolution approach, to fasten the speed of the request.” (Jean Th. Lapresté, Zentralblatt MATH, Vol. 1257, 2013)

Authors and Affiliations

  • University Bordeaux 1, LABRI UMR 58000, Talence, France

    Jenny Benois-Pineau

  • , Signaux et Systèmes de, Laboratoire d'Informatique, Sophia Antipolis Cedex, France

    Frédéric Precioso

  • CNRS (UMR 7606), Laboratoire d’Informatique, Université Paris XI, Paris, France

    Matthieu Cord

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