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A survey on content based image retrieval

T. Dharani, I. Laurence Aroquiaraj

Open publisher page 137 citations

Abstract

Literature survey is most important for understanding and gaining much more knowledge about specific area of a subject. In this paper a survey on content based image retrieval presented. Content Based Image Retrieval (CBIR) is a technique which uses visual features of image such as color, shape, texture, etc... to search user required image from large image database according to user's requests in the form of a query image. We consider Content Based Image Retrieval viz. labelled and unlabelled images for analyzing efficient image for different image retrieval process viz. D-EM, SVM, RF, etc. To determining the efficient imaging for Content Based Image Retrieval, We performance literature review by using principles of Content Based Image Retrieval based unlabelled images. And also give some recommendations for improve the CBIR system using unlabelled images.

About this research paper

What this paper is about

Literature survey is most important for understanding and gaining much more knowledge about specific area of a subject. In this paper a survey on content based image retrieval presented. Content Based Image Retrieval (CBIR) is a technique which uses visual features of image such as color, shape, texture, etc... to search user required image from large image database according to user's requests in the form of a query image. We consider Content Based Image Retrieval viz. labelled and unlabelled images for analyzing efficient image for different image retrieval process viz. D-EM, SVM, RF, etc. To determining the efficient imaging for Content Based Image Retrieval, We performance literature review by using principles of Content Based Image Retrieval based unlabelled images. And also give some recommendations for improve the CBIR system using unlabelled images.

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OpenAlex reports 137 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Literature survey is most important for understanding and gaining much more knowledge about specific area of a subject. In this paper a survey on content based image retrieval presented. Content Based Image Retrieval (CBIR) is a technique which uses visual features of image such as color, shape, texture, etc... to search user required image from large image database according to user's requests in the form of a query image. We consider Content Based Image Retrieval viz. labelled and unlabelled images for analyzing efficient image for different image retrieval process viz. D-EM, SVM, RF, etc. To determining the efficient imaging for Content Based Image Retrieval, We performance literature review by using principles of Content Based Image Retrieval based unlabelled images. And also give some recommendations for improve the CBIR system using unlabelled images.

Key concepts: Image retrieval, Computer science, Content-based image retrieval, Automatic image annotation, Image texture, Visual Word, Information retrieval, Image (mathematics)

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