Research Article
Introducing New Meta Search Model through Content based Image Retrieval Algorithm
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 52 - Issue 13 |
| Published: August 2012 |
| Authors: Kanak Giri, Kapil Sharma, Pankaj Dadheech |
10.5120/8261-1801
|
Kanak Giri, Kapil Sharma, Pankaj Dadheech . Introducing New Meta Search Model through Content based Image Retrieval Algorithm. International Journal of Computer Applications. 52, 13 (August 2012), 16-18. DOI=10.5120/8261-1801
@article{ 10.5120/8261-1801,
author = { Kanak Giri,Kapil Sharma,Pankaj Dadheech },
title = { Introducing New Meta Search Model through Content based Image Retrieval Algorithm },
journal = { International Journal of Computer Applications },
year = { 2012 },
volume = { 52 },
number = { 13 },
pages = { 16-18 },
doi = { 10.5120/8261-1801 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A Kanak Giri
%A Kapil Sharma
%A Pankaj Dadheech
%T Introducing New Meta Search Model through Content based Image Retrieval Algorithm%T
%J International Journal of Computer Applications
%V 52
%N 13
%P 16-18
%R 10.5120/8261-1801
%I Foundation of Computer Science (FCS), NY, USA
Abstract
This paper presents an approach to model content based meta-search engine which search all the content related images present in the dataset. Searching through the keywords in an image database require a lot of Meta data (keywords about the image) to be stored for each image in a separate database. This does not lead to an effective search mechanism. This mechanism basically works for the relevant output for the input query image. The process based on the image extraction by the implemented functions like "edge histogram", "image feature extraction i. e. sharpness, smoothness, color etc.
References
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