CGVQM is a full-reference video quality metric that predicts perceptual differences between pairs of videos. Like PSNR and SSIM, it compares a ground-truth reference to a distorted version (e.g.

Abstract: This research work aims to develop an AI-based plant growth monitoring system using computer vision. By leveraging computer vision algorithms and artificial intelligence techniques, the ...

Abstract: In this study, we developed a wearable eye tracker leveraging mini-infrared point sensors. The eye tracker utilized two inexpensive mini-infrared ray (IR) point sensors to measure the ...

Halo Unreal Engine 5 vs Halo 3 2007 Graphics Comparison The Halo Unreal Engine 5 reveal from Halo Studios (formerly 343 Industries) has everyone talking about Halo again. We thought we would take a ...

This project includes a variety of beginner-friendly Python exercises that cover essential programming concepts such as user input handling, basic algorithms, password validation, API requests, and ...