International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Review on: Content Based Image Retrieval

Author : Manisha Sharma ¹ Anand Singh Bisen ² Abhinav Vidwans ³

Date of Publication :7th August 2016

Abstract: The paper presents a review of different techniques in content-based image retrieval. Content Based image retrieval is a system by which several images are retrieved from a large database collection. The paper starts with discussing the fundamental aspects of CBIR. Features for Image Retrieval like color, texture and shape are discussed next. We briefly discuss the similarity measures based on which matches are made and images are retrieved. Another essential problem in content-based image retrieval is effective indexing and fast searching of images based on visual features. Dimension reduction and indexing schemes are also discussed. For content-based image retrieval, user interaction with the retrieval system is crucial since flexible formation and modification of queries can only be obtained by involving the user in the retrieval procedure. Finally Relevance feedback is discussed which helps in improving the performance of a CBIR system.

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