22 Optimizing Top Precision Performance Measure of Content-Based Image Retrieval by Learning Similarity Function
Abstract
Content-based image retrieval (CBIR) is an extensively used technique for finding relevant pixels in massive databases based totally on their visible content. One of the key performance measures for comparing the effectiveness of CBIR structures is pinnacle precision, which measures the proportion of relevant pictures of the various pinnacle retrieved outcomes. But, achieving high pinnacle precision in CBIR is a tough task due to the excessive dimensionality of image facts and the subjective nature of relevance judgments. In this paper, we recommend a method for ...
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