Visual Indexing and Retrieval

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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.

Book details

Edition:
2012
Series:
SpringerBriefs in Computer Science
Author:
Jenny Benois-Pineau, Frédéric Precioso, Matthieu Cord
ISBN:
9781461435884
Related ISBNs:
9781461435877
Publisher:
Springer New York
Pages:
N/A
Reading age:
Not specified
Includes images:
No
Date of addition:
2021-02-25
Usage restrictions:
Copyright
Copyright date:
2012
Copyright by:
N/A 
Adult content:
No
Language:
English
Categories:
Computers and Internet, Nonfiction