Author : K. Bharathi 1
Date of Publication :7th December 2017
Abstract: The objective of this paper is to present a brief overview of existing Content-Based Image Retrieval (CBIR) technique. The CBIR method is used to retrieve relevant images from the database based on the query image submitted by the user. The retrieval of images from a database relies purely on the image features such as color, shape and object identification using texture(s) in the query image. Apart from CBIR architecture and its existing methods, the paper presents the issues and challenges of CBIR system that needs to be addressed along with the future scope.
Reference :
-
- Nishant Shrivastava and Vipin Tyagi, “An effective content based image retrieval system using relevance search and low-level features”, Ph. D., Thesis, Jaypee University of Engineering and Technology, 2014.
- Fuhui Long, Hongjiang Zhang and David Dagan Feng, “Fundamentals of Content-Based Image Retrieval”, Multimedia Information Retrieval and Management: Technological Fundamentals and Applications, David Dagan Feng, Wan-Chi Siu, Hong-Jiang Zhang (Eds.), Springer-Verlag, Berlin, Heidelberg, pp. 1-26, 2003.
- Yogital Mistry and D. T. Ingole, “Survey on Content Based Information Retrieval Systems”, International Journal of Innovative Research in Computer and Communication Engineering, Vol. 1, No. 8, pp. 1827- 1836, 2013.
- Ritika Hirwane, “Fundamental of Content Based Information Retrieval”, International Journal of Computer Science and Information Technologies, Vol. 3, No. 1, pp. 3260-3263, 2012.
- K. Kranthi Kumar and T. Venugopal, “CBIR: Content Based Image Retrieval”, National Conference on Advances in International Security, pp 1-8, 2010.
- Tohid Sedghi, “A Robust Image Retrieval System using Weighted Composition of Features”, Research and Reviews: Journal of Pure and Applied Physics, Vol. 1, No. 1, pp. 11-16, 2013.
- Ashish Mohan Yadav and B. P. S. Sengar, “A Survey on Content Based Information Retrieval Systems”, International Journal of Emerging Technology and Advanced Engineering, Vol. 4, No. 6, pp. 603-608, 2014
- Fazal Malik and Baharum Baharudin, “Analysis of Distance Metrics in Content Based Image Retrieval using Statistical Quantized Histogram Texture Features in the DCT Domain, Journal of King Saud UniversityComputer and Information Sciences, Vol. 25, pp. 207- 218, 2013.
- Y. Liu, D. Zhang, G. Lu, and W. Ma, A survey of content-based image retrieval with high level semantics. Pattern Recognit. Vol. 40, No. 1, pp. 262-282, 2007.