25 citations · 90 across the 26 of their papers we have counts for
26 papers
DQ-Ladder: A Deep Reinforcement Learning-based Bitrate Ladder for Adaptive Video Streaming
Reza Farahani, Zoha Azimi, Vignesh V Menon +4
Adaptive streaming of segmented video over HTTP typically relies on a predefined set of bitrate-resolution pairs, known as a bitrate ladder. However, fixed ladders often overlook v…
Content-Driven Frame-Level Bit Prediction for Rate Control in Versatile Video Coding
Amritha Premkumar, Prajit T Rajendran, Vignesh V Menon +1
Rate control allocates bits efficiently across frames to meet a target bitrate while maintaining quality. Conventional two-pass rate control (2pRC) in Versatile Video Coding (VVC)…
Multi-Objective Pareto-Front Optimization for Efficient Adaptive VVC Streaming
Angeliki Katsenou, Vignesh V. Menon, Guoda Laurinaviciute +2
Adaptive video streaming has facilitated improved video streaming over the past years. A balance among coding performance objectives such as bitrate, video quality, and decoding co…
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…
ICME 2025 Generalizable HDR and SDR Video Quality Measurement Grand Challenge
Yixu Chen, Bowen Chen, Hai Wei +16
This paper reports IEEE International Conference on Multimedia \& Expo (ICME) 2025 Grand Challenge on Generalizable HDR and SDR Video Quality Measurement. With the rapid developmen…
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…
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…
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…
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…
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…
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…
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…
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…
Content-Adaptive Variable Framerate Encoding Scheme for Green Live Streaming
Vignesh V Menon, Samira Afzal, Prajit T Rajendran +3
Adaptive live video streaming applications use a fixed predefined configuration for the bitrate ladder with constant framerate and encoding presets in a session. However, selecting…
Energy-Efficient Multi-Codec Bitrate-Ladder Estimation for Adaptive Video Streaming
Vignesh V Menon, Reza Farahani, Prajit T Rajendran +3
With the emergence of multiple modern video codecs, streaming service providers are forced to encode, store, and transmit bitrate ladders of multiple codecs separately, consequentl…
All-intra rate control using low complexity video features for Versatile Video Coding
Vignesh V Menon, Anastasia Henkel, Prajit T Rajendran +5
Versatile Video Coding (VVC) allows for large compression efficiency gains over its predecessor, High Efficiency Video Coding (HEVC). The added efficiency comes at the cost of incr…
Just Noticeable Difference-aware Per-Scene Bitrate-laddering for Adaptive Video Streaming
Vignesh V Menon, Jingwen Zhu, Prajit T Rajendran +3
In video streaming applications, a fixed set of bitrate-resolution pairs (known as a bitrate ladder) is typically used during the entire streaming session. However, an optimized bi…
Green Video Complexity Analysis for Efficient Encoding in Adaptive Video Streaming
Vignesh V Menon, Christian Feldmann, Klaus Schoeffmann +2
For adaptive streaming applications, low-complexity and accurate video complexity features are necessary to analyze the video content in real time, which ensures fast and compressi…
Transcoding Quality Prediction for Adaptive Video Streaming
Vignesh V Menon, Reza Farahani, Prajit T Rajendran +3
In recent years, video streaming applications have proliferated the demand for Video Quality Assessment VQA). Reduced reference video quality assessment (RR-VQA) is a category of V…
Video Quality Assessment with Texture Information Fusion for Streaming Applications
Vignesh V Menon, Prajit T Rajendran, Reza Farahani +2
The rise in video streaming applications has increased the demand for video quality assessment (VQA). In 2016, Netflix introduced Video Multi-Method Assessment Fusion (VMAF), a ful…
Multi-resolution encoding and optimization for next generation video compression
Vignesh V Menon
Multi-encoding implies encoding the same content in multiple spatial resolutions and multiple bitrates. This work evaluates the encoder analysis correlations across 2160p, 1080p, a…