Relevance Feedback Techniques Implemented in CBIR: Current Trends and Issues

Relevance Feedback Techniques Implemented in CBIR: Current Trends and Issues

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2014 by IJETT Journal
Volume-10 Number-4
Year of Publication : 2014
Authors : Dr. (Mrs) Ananthi Sheshasaayee , Jasmine .C
  10.14445/22315381/IJETT-V10P232

Citation 

Dr. (Mrs) Ananthi Sheshasaayee , Jasmine.C . "Relevance Feedback Techniques Implemented inCBIR: Current Trends and Issues", International Journal of Engineering Trends and Technology (IJETT), V10(4),166-175 April 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract

The semantic gap problem and the performance accuracy issues in a Content Based Image Retrieval System (CBIR) can be efficiently overcome by the Relevance Feedback mechanism. Based on this feedback the CBIR system modifies its retrieval mechanism in an attempt to return the desirable output. In designing a Relevance Feedback (RF) mechanism a number of design requirements have to be considered that helps the CBIR system to function efficiently. In this paper the different RF techniques will be analysed by their performance and will throw light on the latest feedback algorithms and their related issues.

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Keyowrds
CBIR, Relevance Feedback mechanism, semantic gap, RF Techniques.