25 citations · 74 across the 23 of their papers we have counts for
19 papers · 1 filter
Predicting Encoding Energy from Low-Pass Anchors for Green Video Streaming
Zoha Azimi, Reza Farahani, Vignesh V Menon +1
Video streaming now represents the dominant share of Internet traffic, as ever-higher-resolution content is distributed across a growing range of heterogeneous devices to sustain u…
Block-Partitioning Strategies for Accelerated Multi-rate Encoding in Adaptive VVC Streaming
Vignesh V Menon, Adam Wieckowski, Yiquin Liu +2
The demand for efficient multi-rate encoding techniques has surged with the increasing prevalence of ultra-high-definition (UHD) video content, particularly in adaptive streaming s…
Learning Quality from Complexity and Structure: A Feature-Fused XGBoost Model for Video Quality Assessment
Amritha Premkumar, Prajit T Rajendran, Vignesh V Menon
This paper presents a novel approach for reduced-reference video quality assessment (VQA), developed as part of the recent VQA Grand Challenge. Our method leverages low-level compl…
Energy-Quality-aware Variable Framerate Pareto-Front for Adaptive Video Streaming
Prajit T Rajendran, Samira Afzal, Vignesh V Menon +1
Optimizing framerate for a given bitrate-spatial resolution pair in adaptive video streaming is essential to maintain perceptual quality while considering decoding complexity. Low…
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…
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…