A modified similarity measurement for image retrieval scheme using fusion of color, texture and shape moments

N Varish - Multimedia Tools and Applications, 2022 - Springer
In this paper, a simple feature fusion scheme is proposed for content-based image retrieval
(CBIR) using color, texture and shape feature moments. The low dimensional feature …

A novel image retrieval scheme using gray level co-occurrence matrix descriptors of discrete cosine transform based residual image

N Varish, AK Pal - Applied Intelligence, 2018 - Springer
Several CBIR schemes have been devised by the formation of the low dimensional image
feature vector from the primitive visual features such as color, texture and/or shape of the …

An image retrieval scheme based on block level hybrid dct-svd fused features

M Majhi, AK Pal - Multimedia Tools and Applications, 2021 - Springer
In this paper, an image retrieval scheme has been proposed based on block level hybrid
features. The block level salient feature are extracted in two parts: first level features are …

ExpertosLF: Dynamic late fusion of CBIR systems using online learning with relevance feedback

SM Alarcão, V Mendonça, C Maruta… - Multimedia Tools and …, 2023 - Springer
One of the main challenges in CBIR systems is to choose discriminative and compact
features, among dozens, to represent the images under comparison. Over the years, a great …

A novel similarity measure for content based image retrieval in discrete cosine transform domain

N Varish, S Kumar, AK Pal - Fundamenta Informaticae, 2017 - content.iospress.com
Content-based image retrieval (CBIR) scheme has gained popularity in the field of
information retrieval for retrieving some relevant images from the image database based on …

Distributed content-based image retrieval of satellite images on Hadoop

T Sharma, V Shokeen, S Mathur - Recent Advances in …, 2021 - benthamdirect.com
Background: Owing to increased growth in satellite imagery, the development of an
architecture that rapidly and efficiently identifies similar images has become crucial. Hadoop …