
Visual Indexing and Retrieval
Springer (Publisher)
1st Edition
Published on 5. April 2012
Book
Paperback/Softback
VIII, 107 pages
978-1-4614-3587-7 (ISBN)
Description
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.
Reviews / Votes
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)More details
Series
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Illustrations
17 s/w Abbildungen
VIII, 107 p. 17 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 7 mm
Weight
189 gr
ISBN-13
978-1-4614-3587-7 (9781461435877)
DOI
10.1007/978-1-4614-3588-4
Schweitzer Classification
Other editions
Additional editions

Jenny Benois-Pineau | Frédéric Precioso | Matthieu Cord
Visual Indexing and Retrieval
E-Book
04/2012
1st Edition
Springer
€53.49
Available for download
Content
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.