Paper Title
Adaptive Generative Compression: An In-depth Exploration of GAN-Enhanced HEVC Video Compression for Improved QOS
Abstract
There has been increased demand for more immersive video content for a better 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)-
basedH.265videocompression.Themain employed methodsand applied treatments are briefly described. Subsequently, this
work’s findings are presented in the results sections. The conclusions indicates the effectiveness of the (GAN)-based
algorithm utilized in the video compression process.
Keywords - HEVC; H.265; GAN; Machine Learning; Deep Learing; Artificial Inteligence; QOS)