BFSIRC: Design of a hybrid Bioinspired model for high-efficiency Feature Selection-based Image Retrieval via Continuous learning process

Volume 20 No 7 (2022)

Milind Vijayrao Lande and SonaliRidhorkar

DOI: 10.48047/NQ.2022.20.7.NQ33515

Abstract

Retrieval of images based on color, texture, shape and other visual properties requires design of highefficiency feature representation and ranking models. These models must be capable of enhancing retrieval accuracy while minimizing error & delay needed for ranking operations. Existing retrieval models are either highly complex, or showcase moderate performance when deployed on multidomain datasets, which limits their scalability levels.

Keywords

Content, Image, Retrieval, Shape, Texture, Gabor, Convolutional, EHO, PSO, GA, Ranking, QLeaning, Accuracy, Precision, Reca

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