Research Article
CBIR – An analysis and suggestions for improvement
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 42 - Issue 14 |
| Published: March 2012 |
| Authors: Shriram K V, P. L. K. Priyadarsini, Subashri V |
10.5120/5764-7967
|
Shriram K V, P. L. K. Priyadarsini, Subashri V . CBIR – An analysis and suggestions for improvement. International Journal of Computer Applications. 42, 14 (March 2012), 41-44. DOI=10.5120/5764-7967
@article{ 10.5120/5764-7967,
author = { Shriram K V,P. L. K. Priyadarsini,Subashri V },
title = { CBIR – An analysis and suggestions for improvement },
journal = { International Journal of Computer Applications },
year = { 2012 },
volume = { 42 },
number = { 14 },
pages = { 41-44 },
doi = { 10.5120/5764-7967 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A Shriram K V
%A P. L. K. Priyadarsini
%A Subashri V
%T CBIR – An analysis and suggestions for improvement%T
%J International Journal of Computer Applications
%V 42
%N 14
%P 41-44
%R 10.5120/5764-7967
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The basic motive of the search engines lies in the fact that, it should be able to retrieve results with utmost accuracy and efficiency. Image search engines are no where exceptional. They should retrieve images from the database which are similar to the query image. Existing image search engines largely depend on the keywords provided by the users for effective search. In this paper, we have discussed the disadvantages of keyword based search as well as the basics of Content Based Image Retrieval (CBIR). In particular, we discuss the pros and cons of CBIR based on Color and Texture properties of the images and suggest a new parameter for search, the entropy.
References
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