A Review on Different Categories of CBIR Methods

Authors

  • D. Latha  Department of PG Computer Science, Nesamony Memorial Christian College, Marthandam, Tamilnadu, India
  • Dr. Y. Jacob Vetha Raj  Department of Computer Science, Nesamony Memorial Christian College, Marthandam, Tamilnadu, India

Keywords:

Query, Database, Image Retrieval and Texture.

Abstract

Content based image retrieval (CBIR) has become a main research area in multimedia applications. In the literature, there is lot of papers focusing on the content-based image retrieval in order to extract the semantic information within the query concept. The CBIR methods used in image searching areas differ by the user interaction and processing style in query image input. If we classify the CBIR methods into different categories, they are useful for deciding the suitable method for suitable environment and application. This paper classifies the different category of CBIR methods based on the user interaction with query image and the query processing style. In this paper, a review on nine categories of CBIR methods are given and for each categories a significant count of latest papers are described to enhance the better understanding of the users. This paper highlights the best CBIR methods for every user specific requirements.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-02-28

Issue

Volume 3, Issue 1, January-February-2018

Section

Research Articles

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How to Cite

[1]
D. Latha, Dr. Y. Jacob Vetha Raj, " A Review on Different Categories of CBIR Methods, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.1093-1100, January-February-2018.