Visual Indexing and Retrieval

2012
ISBN: 978-1-4614-3587-7
Verlag: Springer

Buch, Englisch, 107 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 189 g

Reihe: SpringerBriefs in Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Benois-Pineau, Jenny

Cord, Matthieu

Precioso, Frédéric

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Information Retrieval
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

Introduction.- Visual feature extraction and description.- Machine learning approaches for visual information and retrieval.- Spatial and multi-resolution context in visual indexing.- Scalability issues in visual information retrieval.- Evaluation of visual information indexing and retrieval.- References.