Multimedia Mining

A Highway to Intelligent Multimedia Documents

  • Chabane Djeraba

Part of the Multimedia Systems and Applications Series book series (MMSA, volume 22)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Chabane Djeraba
    Pages 1-6
  3. Kitamoto Asanobu
    Pages 7-25
  4. Osmar R. Zaïane
    Pages 27-42
  5. Yuqing Song, Aidong Zhang
    Pages 43-60
  6. Renato O. Stehling, Mario A. Nascimento, Alexandre X. Falcão
    Pages 61-82
  7. Georges Quénot, Philippe Mulhem, Damien Paulin, Dinesh Kumar, Raghav Bhaskar, Arvind Bhusnurmath
    Pages 83-112
  8. Jianping Fan, Xingquan Zhu, Xiaodong Lin
    Pages 113-137
  9. Peter L. Stanchev, Farshad Fotouhi, Mohammad-Reza Siadat, Hamid Soltanian-Zadeh
    Pages 139-160
  10. Jerome Gensel, Philippe Mulhem, Herve Martin
    Pages 161-178
  11. J. Darmont, O. Boussaid, F. Bentayeb, S. Rabaseda, Y. Zellouf
    Pages 179-196
  12. CL. Chrisment, FL. Sedes
    Pages 197-211
  13. Abelhakim Saadane
    Pages 213-228
  14. Back Matter
    Pages 229-231

About this book

Introduction

Multimedia Mining: A Highway to Intelligent Multimedia Documents brings together experts in digital media content analysis, state-of-art data mining and knowledge discovery in multimedia database systems, knowledge engineers and domain experts from diverse applied disciplines.

Multimedia documents are ubiquitous and often required, if not essential, in many applications today. This phenomenon has made multimedia documents widespread and extremely large. There are tools for managing and searching within these collections, but the need for tools to extract hidden useful knowledge embedded within multimedia objects is becoming pressing and central for many decision-making applications. The tools needed today are tools for discovering relationships between objects or segments within multimedia document components, such as classifying images based on their content, extracting patterns in sound, categorizing speech and music, and recognizing and tracking objects in video streams.

Keywords

classification data mining database information knowledge discovery learning machine learning multimedia semantics

Editors and affiliations

  • Chabane Djeraba
    • 1
  1. 1.Polytechnic School of Nantes UniversityFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-1141-0
  • Copyright Information Kluwer Academic Publishers 2003
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-5412-3
  • Online ISBN 978-1-4615-1141-0
  • About this book