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== Referenz ==
T. Dharani and I. Aroquiaraj: A survey on content based image retrieval. Pattern Recognition, Informatics and Mobile Engineering (PRIME), 2013 International Conference, pp. 485-490

== DOI ==
http://dx.doi.org/10.1109/ICPRIME.2013.6496719

== Abstract ==
Literature survey is most important for understanding and gaining much more knowledge about specific area of a subject. In this paper a survey on content based image retrieval presented. Content Based Image Retrieval (CBIR) is a technique which uses visual features of image such as color, shape, texture, etc... to search user required image from large image database according to user's requests in the form of a query image. We consider Content Based Image Retrieval viz. labelled and unlabelled images for analyzing efficient image for different image retrieval process viz. D-EM, SVM, RF, etc. To determining the efficient imaging for Content Based Image Retrieval, We performance literature review by using principles of Content Based Image Retrieval based unlabelled images. And also give some recommendations for improve the CBIR system using unlabelled images.

== Extended Abstract ==

== Bibtex ==
@INPROCEEDINGS{6496719,
author={T. Dharani and I. L. Aroquiaraj},
booktitle={Pattern Recognition, Informatics and Mobile Engineering (PRIME), 2013 International Conference on},
title={A survey on content based image retrieval},
year={2013},
pages={485-490},
keywords={content-based retrieval;image retrieval;visual databases;CBIR system;RF;SVM;content based image retrieval;query image database;unlabelled image;Image retrieval;Pattern recognition;Radio frequency;Supervised learning;Support vector machines;Active Learning;CBIR;RF;SVM;Unlabelled images},
doi={10.1109/ICPRIME.2013.6496719},
url={http://dx.doi.org/10.1109/ICPRIME.2013.6496719 http://de.evo-art.org/index.php?title=A_survey_on_content_based_image_retrieval },
month={Feb},
}

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