activity
20222026
most citedGreen Video Complexity Analysis for Efficient Encoding in Adaptive Video Streaming

25 citations · 90 across the 26 of their papers we have counts for

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Showing 2024Show all

9 papers · 1 filter

cs.MM2024

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…

eess.IV2024

Decoding Complexity-Rate-Quality Pareto-Front for Adaptive VVC Streaming

Angeliki Katsenou, Vignesh V Menon, Adam Wieckowski +2

Pareto-front optimization is crucial for addressing the multi-objective challenges in video streaming, enabling the identification of optimal trade-offs between conflicting goals s…

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.MM2024★ 3 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.MM2024

Video Super-Resolution for Optimized Bitrate and Green Online Streaming

Vignesh V Menon, Prajit T Rajendran, Amritha Premkumar +2

Conventional per-title encoding schemes strive to optimize encoding resolutions to deliver the utmost perceptual quality for each bitrate ladder representation. Nevertheless, maint…

cs.MM2024★ 3 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.MM2024★ 15 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…

cs.MM2024★ 5 cited

Optimal Quality and Efficiency in Adaptive Live Streaming with JND-Aware Low latency Encoding

Vignesh V Menon, Jingwen Zhu, Prajit T Rajendran +4

In HTTP adaptive live streaming applications, video segments are encoded at a fixed set of bitrate-resolution pairs known as bitrate ladder. Live encoders use the fastest available…