A Survey on Feature Based Image Retrieval Techniques

Shao, Ling (2011) A Survey on Feature Based Image Retrieval Techniques. In: Intelligent Multimedia Databases and Information Retrieval. IGI Global, Hershey, PA, pp. 105-120. ISBN 9781613501269

Full text not available from this repository. (Request a copy)
Official URL: http://dx.doi.org/10.4018/978-1-61350-126-9.ch007

Abstract

In this chapter, we review classical and state of the art Content-Based Image Retrieval algorithms. Techniques on representing and extracting visual features, such as color, shape, and texture, are first presented. Several well-known image retrieval systems using those features are also summarized. Then, two recent trends on image retrieval, namely semantic based methods and local invariant regions based methods, are discussed. We analyze the drawbacks of current approaches and propose directions for future work.

Item Type: Book Section
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer Science and Digital Technologies
Depositing User: Paul Burns
Date Deposited: 15 Jun 2015 14:41
Last Modified: 10 Nov 2016 12:39
URI: http://nrl.northumbria.ac.uk/id/eprint/22913

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics


Policies: NRL Policies | NRL University Deposit Policy | NRL Deposit Licence