The experimental analysis of the proposed dual phase model is indicated in the section 4.
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*content-based image retrieval** is a well affected problem in reckoner vision, with recovery problems generally two-chambered into two groups: category-level retrieval and instance-level retrieval.
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How is content based image retrieval ( CBIR ) used?
Abstract. Content-based image retrieval (CBIR) is a widely used technique for retrieval images from huge and unlabel ed image databases. H owever, users are not satisfied with the traditional information retrieval techniques. Moreover, th e of images which are available to users con tinue to grow.
Which is the main research area in CBIR?
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
Can a CBIR network run on a CPU?
From several extensive of empirical studies for a variety of CBIR tasks using image database, we obtain some encouraging results which reveals several important insights for improving the CBIR performance. Diagram of the proposed architecture This network that we propose is a very small network that we can run on a CPU as well.
Last Update: Oct 2021
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