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Content-Based Image Retrieval application: A Review

Author(s):

Balaji shelar , S.T.B.COE, Tuljapur, Maharashtra, India.; Prof. Pergad N .D , S.T.B.COE, Tuljapur, Maharashtra, India.

Keywords:

Content-Based Image Retrieval (CBIR), query by image content (QBIC)

Abstract

The paper presents a review of different techniques in content-based image retrieval. 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 important issue 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. Potential uses for CBIR include Architectural and engineering design, collections, Crime, Geographical information and remote sensing systems, Intellectual, Medical, Military, Photograph archives, Nudity-detection filters, Face Finding.

Other Details

Paper ID: IJSRDV4I60504
Published in: Volume : 4, Issue : 6
Publication Date: 01/09/2016
Page(s): 979-983

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