Visual Indexing and Retrieval

1. Front Matter

   Pages i-viii

   PDF

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

   PDF

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.

• Indexing
• Machine Learning
• Retrieval
• Scalability
• Visual Information

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)

• 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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