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Content based Image Retrieval using SVM-ID3

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 87 - Number 17
Year of Publication: 2014
Authors:
Maneela Jain
Pushpendra Singh Tomar
Manish Shrivastava
10.5120/15303-4074

Maneela Jain, Pushpendra Singh Tomar and Manish Shrivastava. Article: Content based Image Retrieval using SVM-ID3. International Journal of Computer Applications 87(17):35-42, February 2014. Full text available. BibTeX

@article{key:article,
	author = {Maneela Jain and Pushpendra Singh Tomar and Manish Shrivastava},
	title = {Article: Content based Image Retrieval using SVM-ID3},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {87},
	number = {17},
	pages = {35-42},
	month = {February},
	note = {Full text available}
}

Abstract

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.

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