Abstract
CBIR (Content-Based Image Retrieval) is utilized for retrieval of various kinds of images from a huge database. In the database, the collection of information is available in various formats like chart, graph, image, text, etc. Here, information retrieval is our main focus which is available in the image form. Searching and retrieval of the image from a collection of database is a difficult problem because it utilizes the image visual information like color, text, and shape for indexing and representation of an image. In the previous years, several methods have been established for CBIR. The key goal of the paper is to provide an analysis of CBIR systems. This paper analyzes the current trend and methodologies of CBIR schemes. Moreover, this paper presented the CBIR system in the early years and at the end of the years. Extensive reviews including theory, design, principles, approaches, implementation, challenges, future directions, and performances of CBIR are done in this paper. A comparison between various CBIR systems has been performed. This survey systematically provides a technical direction to the researchers over the CBIR system and discusses the potential future aspects.
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Patel, B., Yadav, K., Ghosh, D. (2021). Current Trend and Methodologies of Content-Based Image Retrieval: Survey. In: Goyal, D., Chaturvedi, P., Nagar, A.K., Purohit, S. (eds) Proceedings of Second International Conference on Smart Energy and Communication. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-6707-0_64
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