International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 87 - Issue 17 |
Published: February 2014 |
Authors: Maneela Jain, Pushpendra Singh Tomar, Manish Shrivastava |
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Maneela Jain, Pushpendra Singh Tomar, Manish Shrivastava . Content based Image Retrieval using SVM-ID3. International Journal of Computer Applications. 87, 17 (February 2014), 35-42. DOI=10.5120/15303-4074
@article{ 10.5120/15303-4074, author = { Maneela Jain,Pushpendra Singh Tomar,Manish Shrivastava }, title = { Content based Image Retrieval using SVM-ID3 }, journal = { International Journal of Computer Applications }, year = { 2014 }, volume = { 87 }, number = { 17 }, pages = { 35-42 }, doi = { 10.5120/15303-4074 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2014 %A Maneela Jain %A Pushpendra Singh Tomar %A Manish Shrivastava %T Content based Image Retrieval using SVM-ID3%T %J International Journal of Computer Applications %V 87 %N 17 %P 35-42 %R 10.5120/15303-4074 %I Foundation of Computer Science (FCS), NY, USA
Content-based image retrieval (CBIR) systems aim to return the most relevant images in a database, according to the user's opinion for a given query. Due to the dynamic nature of the problem, this may change the meaning of relevance among users for a same query. In this ID3 (Decision Tree) based support vector machine (SVM) method proposed to retrieve several features and shorten the semantic gap between low-level visual feature and high-level perception. The analysis of the proposed work is done using MATLAB 2009a simulator.