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

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.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.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.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…