Visual Intelligence: Deep Learning Architectures for Robust Image Retrieval
Keywords:
Content-Based Image Retrieval, Image Feature Extraction, Visual Search, Transfer Learning.Abstract
The rapid growth of digital image data across diverse fields has highlighted the need for efficient and accurate image retrieval systems. Traditional content-based image retrieval (CBIR) methods primarily rely on low-level, handcrafted features, which often fail to bridge the semantic gap the disconnect
References
X. Li, J. Yang, and J. Ma, “Recent developments of content-based image retrieval (CBIR),” Neurocomputing, vol. 452, 2021.
M. Alsaffar and E. M. Jarallah, “Isolation and characterization of lytic bacteriophages infecting Pseudomonas aeruginosa from sewage water,” International Journal of PharmTech Research, vol. 9, pp. 220–230, 2016.
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Published
2025-04-15
How to Cite
Dr. Ch. Amarnatha Sarma, Chirala Gayathri, Nare Pavani, Chakrala Divya Charitha, Mavilla Usha Rani. (2025). Visual Intelligence: Deep Learning Architectures for Robust Image Retrieval. Journal of Computational Analysis and Applications (JoCAAA), 34(4), 1208–1217. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3115
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