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2321-0869, Volume-1, Issue-7, September 2013 Region-based image retrieval with high-level semantics – A Comprehensive Investigation Mrs Savita S.
Content Based Image Retrieval Tanya Piplani (firstname.lastname@example.org) Introduction Models Caption Based Retrieval Quantitative Metrics Caption Generation Model Model BLEU-1 METEOR ROUGE-L CIDEr-D Our 0.828 0.280 0.603 0.692 SOTA 0.953 0.375 0.734 1.270 Pr@5 Time Image Retrieval Models Model DeepSeek a natural language processing based deep learning model that allows users to enter a description of the kind of images that they want to search, and in response the system retrieves all the images that semantically and contextually relate to the query.
ABSTRACT This paper presents a Content-based Image Retrieval (CBIR) System, called DEICBIR-3.
The suggested approach is to be developed using Matlab tool for image processing and retrieval techniques.
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22311963 A NOVEL FEATURE SELECTION MECHANISM FOR MEDICAL IMAGE RETRIEVAL SYSTEM S.