Image Retrieval Using Content Information

Sensors & Transducers. 2014;183(12):253-258

 

Journal Homepage

Journal Title: Sensors & Transducers

ISSN: 2306-8515 (Print); 1726-5479 (Online)

Publisher: IFSA Publishing, S.L.

Society/Institution: International Frequency Sensor Association (IFSA)

LCC Subject Category: Technology: Technology (General)

Country of publisher: Spain

Language of fulltext: English

Full-text formats available: PDF

 

AUTHORS

Tiejun Wang (School of mathematics and computer science institute, Northwest University for Nationalities, Lanzhou 730030, China)
Weilan Wang (School of mathematics and computer science institute, Northwest University for Nationalities, Lanzhou 730030, China)

EDITORIAL INFORMATION

Blind peer review

Editorial Board

Instructions for authors

Time From Submission to Publication: 5 weeks

 

Abstract | Full Text

With the rapid development of the multimedia technologies such as compression and digital image sensor technologies, it is more and more necessary to build up a large database. Therefore robust and efficient methodology for image retrieval techniques has gained the attention of researchers. In the last few years the booming interest in the web images has paved a way to make people on content based Image retrieval techniques and also supporting systems for the retrieval process. In this paper, a general review of Content based image retrieval process by comparing with existing retrieval techniques along with experimental results and applications are presented. Some of the major challenges in the adaptation of content based image retrieval algorithms are also discussed.