Content-based image retrieval and semantic automatic image annotation based on the weighted average of triangular histograms using support vector machine

Z Mehmood, T Mahmood, MA Javid - Applied Intelligence, 2018 - Springer
In recent years, the rapid growth of multimedia content makes content-based image retrieval
(CBIR) a challenging research problem. The content-based attributes of the image are …

Boosting the performance of the BoVW model using SURF–CoHOG-based sparse features with relevance feedback for CBIR

F Baig, Z Mehmood, M Rashid, MA Javid… - Iranian Journal of …, 2020 - Springer
The content-based image retrieval (CBIR) based on sparse visual features is a challenging
research problem to categorize images into semantically meaningful classes. Different …

Building unmanned store identification systems using YOLOv4 and Siamese network

SJ Horng, PS Huang - Applied Sciences, 2022 - mdpi.com
Labor is the most expensive in retail stores. In order to increase the profit of retail stores,
unmanned stores could be a solution for reducing labor cost. Deep learning is a good way …

Digital Design of Programmable Image Processor for FPGA

A Khan - 2022 - preprints.org
Many dedicated designs for real-time operations provide functionality on fixed-sized
operators, but where speed, scalability, and flexibility are required, extensive research is …

A Generic Scalable DFT Calculation Method for Vectors and Matrices Using Matrix Multiplications

AA Khan - 2022 - preprints.org
Abstract Computation of Discrete Fourier Transform (DFT) is a challenging task. Especially,
on computational machines/embedded systems where resources are limited. The …

[PDF][PDF] AGeneric SCALABLE DFT CALCULATION METHOD FOR

AA Khan - 2022 - preprints.org
ABSTRACT Computation of Discrete Fourier Transform (DFT) is a challenging task.
Especially, on computational machines/embedded systems where resources are limited …