Optimizing Video Compression Quality Using AI-Boosted HEVC
Hajar Hardi, Imade Fahd Eddine Fatani · 2024
There has been increased demand for more immersive video content to enhance the Quality of Service. This prompted the need for newer compression algorithms which would retain or even improve the original video quality. This research specifically delves into the implementation of a lossless Generative Adversarial Network (GAN)-based H.265 video compression. The main employed methods and applied treatments are briefly described. Subsequently, this work's findings are presented in the results sections. The conclusion indicates the effectiveness of (GAN)-based algorithm utilized in the video compression process.