According to this measure, we can reduce the number of local features related to each database entry. Through some experiments, database having reduced local ...
Through experiments, we confirmed that the accuracy and the speed of image retrieval are improved by reducing the number of local features for dataset indices.
Fast Keypoint Reduction for Image Retrieval by Accelerated Diverse Density Computation · Development of Local Feature Extraction and Reduction Schemes for Iris ...
In CBIR using local features, it is clear that not all features are necessary for image retrieval. That is, distinctive features have stronger discrimination ...
Bibliographic details on Keypoint Reduction for Smart Image Retrieval.
May 9, 2009 · I'm looking to create a base table of images and then compare any new images against that to determine if the new image is an exact (or close) duplicate of the ...
Mar 18, 2015 · Keypoints are the same thing as interest points. They are spatial locations, or points in the image that define what is interesting or what stand out in the ...
Missing: Reduction Smart Retrieval.
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Sep 20, 2024 · This paper introduces an innovative keypoint detection technique based on Convolutional Neural Networks (CNNs) to enhance the performance of existing Deep ...
Because of this problem, the DD based keypoint reduction cannot be applied to a large scale image database. This paper presents an acceleration method of DD ...
Their work improved the accuracy of image retrieval and retrieval efficiency because the new method reduces the impact of irrelevant information, which is ...