Visual Indexing and Retrieval

✍ Scribed by Jenny Benois-Pineau, Frédéric Precioso, Matthieu Cord (auth.)

• Publisher: Springer-Verlag New York
• Year: 2012
• Tongue: English
• Leaves: 113
• Series: SpringerBriefs in computer science
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-viii
Introduction....Pages 1-3
Visual feature extraction and description....Pages 5-20
Machine learning approaches for visual information retrieval....Pages 21-40
Spatial and multi-resolution context in visual indexing....Pages 41-63
Scalability issues in visual information retrieval....Pages 65-81
Evaluation of visual information indexing and retrieval....Pages 83-96
Back Matter....Pages 97-107

✦ Subjects

Multimedia Information Systems; Information Storage and Retrieval; Information Systems Applications (incl. Internet); Computer Communication Networks; Information Systems and Communication Service