16 citations · 63 across the 17 of their papers we have counts for
17 papers
Oracle-Guided Soft Shielding for Safe Move Prediction in Chess
Prajit T Rajendran, Fabio Arnez, Huascar Espinoza +2
In high stakes environments, agents relying purely on imitation learning or reinforcement learning often struggle to avoid safety-critical errors during exploration. Existing reinf…
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)…
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…
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…
Shorts on the Rise: Assessing the Effects of YouTube Shorts on Long-Form Video Content
Prajit T. Rajendran, Kevin Creusy, Vivien Garnes
Short form content has permeated into the video creator space over the past few years, led by industry leading products such as TikTok, YouTube Shorts and Instagram Reels. YouTube…
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…
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…
Content-adaptive Encoder Preset Prediction for Adaptive Live Streaming
Vignesh V Menon, Hadi Amirpour, Prajit T Rajendran +2
In live streaming applications, a fixed set of bitrate-resolution pairs (known as bitrate ladder) is generally used to avoid additional pre-processing run-time to analyze the compl…