A Review on Feature Extraction Techniques to Aid Content Based Image Retrieval System

Author(s):

Sheetal R. Valand , SVIT; Ms. Parul V. Bakaraniya, SVIT

Keywords:

CBIR, Image Features

Abstract:

Content-Based Image Retrieval (CBIR), also known as retrieving query by image content is one of very demanding and challenging applications of computer vision. In CBIR, the contents derived from the image like color, shapes, and textures are analyzed rather than the metadata such as keywords, tags, and/or descriptions associated with the image. The complexity of multimedia contents is significantly increasing in the current digital world. This yields an exigent demand for developing highly effective retrieval systems to satisfy human needs. Recently, extensive research efforts have been presented and conducted in the field of content-based image retrieval (CBIR). Majority efforts that are being practiced on CBIR focuses on increasing Speed, reducing complexity and increasing accuracy of the retrieval issues. Based on the growing research in the recent years, this paper provides a comprehensive review on the state-of-the-art methods that are being developed in the field of CBIR. The paper here will give you a detailed description or we can say overview of the CBIR framework and also image preprocessing, feature extraction techniques.

Other Details:

Manuscript Id	:	IJSTEV2I9020
Published in	:	Volume : 2, Issue : 9
Publication Date	:	01/04/2016
Page(s)	:	206-212

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