most citedEnergy-efficient Adaptive Video Streaming with Latency-Aware Dynamic Resolution Encoding

15 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

cs.MM2024

Enhancing Film Grain Coding in VVC: Improving Encoding Quality and Efficiency

Vignesh V Menon, Adam Wieckowski, Christian Stoffers +5

This paper presents an in-depth analysis of film grain handling in open-source implementations of the Versatile Video Coding (VVC) standard. We focus on two key components: the Fil…

cs.MM2024

Convex-hull Estimation using XPSNR for Versatile Video Coding

Vignesh V Menon, Christian R. Helmrich, Adam Wieckowski +2

As adaptive streaming becomes crucial for delivering high-quality video content across diverse network conditions, accurate metrics to assess perceptual quality are essential. This…

cs.MM20243 cited

Quality-Aware Dynamic Resolution Adaptation Framework for Adaptive Video Streaming

Amritha Premkumar, Prajit T Rajendran, Vignesh V Menon +3

Traditional per-title encoding schemes aim to optimize encoding resolutions to deliver the highest perceptual quality for each representation. XPSNR is observed to correlate better…

cs.MM20243 cited

Gain of Grain: A Film Grain Handling Toolchain for VVC-based Open Implementations

Vignesh V Menon, Adam Wieckowski, Jens Brandenburg +3

Film grain is a distinctive visual characteristic cherished by filmmakers and cinephiles for its ability to evoke nostalgia and artistic aesthetics. However, faithful preservation…

cs.MM202415 cited

Energy-efficient Adaptive Video Streaming with Latency-Aware Dynamic Resolution Encoding

Vignesh V Menon, Amritha Premkumar, Prajit T Rajendran +4

Traditional per-title encoding schemes aim to optimize encoding resolutions to deliver the highest perceptual quality for each representation. However, keeping the encoding time wi…