Content Based Image Retrieval for Unlabelled Images

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2013, Vol 15, Issue 4

Abstract

 Recently, content-based image retrieval has become hot topic and the techniques of content-based image retrieval have been achieved good development. Content-based image retrieval systems were introduced  to address the problems associated with text-based image retrieval. In this paper, basic components of contentbased image retrieval system are introduced here. Images are classified as lablled and unlablled images. Here survey on content based image retrieval given with some Image retrieval methods based on unlabelled data like  D-EM, SVM, Relevance Feedback, Semi-Supervised/Active Learning, Transductive Learning, Bootstrapping  SVM, Active learning, SSMIL and Label propagation Methods are presented in this paper. Comparison of these all methods is also presented in this paper

Authors and Affiliations

Rikin K Thakkar

Keywords

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  • EP ID EP126164
  • DOI -
  • Views 109
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How To Cite

Rikin K Thakkar (2013).  Content Based Image Retrieval for Unlabelled Images. IOSR Journals (IOSR Journal of Computer Engineering), 15(4), 72-75. https://europub.co.uk/articles/-A-126164