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- W975689140 abstract "Multimedia is an ever growing field which has rich set of digital images. Earlier, document retrieval and Information Search was purely based on text. The problems faced by text based retrieval for image search have been overcome by CBIR (Content Based Image Retrieval) and the solutions were given by many researchers in various ways. The survey projected here paves a platform to understand how the images are processed by various CBIR systems and the performance obtained by those systems. The purpose of this review is to focus on the methodologies and approaches instigated for CBIR system and provide appropriate guidance for effective image retrieval. From the performance obtained by the existing CBIR systems, performance issues have been discussed for future research on images." @default.
- W975689140 created "2016-06-24" @default.
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- W975689140 date "2014-07-30" @default.
- W975689140 modified "2023-09-23" @default.
- W975689140 title "Review on CBIR Trends and Techniques to Upgrade Image Retrieval" @default.
- W975689140 doi "https://doi.org/10.15866/irecos.v9i7.2285" @default.
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