Smart adaptive learning and optimized feature clustering for enhanced image retrieval

Smart adaptive learning and optimized feature clustering for enhanced image retrieval

Abstract In recent years, Content-Based Image Retrieval (CBIR) has faced increasing challenges due to the rapid growth of multimedia content on the Internet. One of the primary difficulties in CBIR lies in identifying dissimilarities between various objects. This paper introduces a novel approach ca...

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Bibliographic Details
Main Authors: P. Umaeswari, Sujata Patil, Parameshachari Bidare Divakarachari, Przemysław Falkowski-Gilski
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Content-Based image retrieval
Convolutional neural network
Elite opposition learning
Entropy-based divergence function
Golden Jackal optimization
Scaling factor
Online Access:https://doi.org/10.1038/s41598-025-10375-6
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