114 citations · 163 across the 17 of their papers we have counts for
17 papers
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…
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…
Optimizing Learned Image Compression on Scalar and Entropy-Constraint Quantization
Florian Borzechowski, Michael Schäfer, Heiko Schwarz +3
The continuous improvements on image compression with variational autoencoders have lead to learned codecs competitive with conventional approaches in terms of rate-distortion effi…
Efficient Federated Learning Tiny Language Models for Mobile Network Feature Prediction
Daniel Becking, Ingo Friese, Karsten Müller +4
In telecommunications, Autonomous Networks (ANs) automatically adjust configurations based on specific requirements (e.g., bandwidth) and available resources. These networks rely o…
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…
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…
Optimized Decoding-Energy-Aware Encoding in Practical VVC Implementations
Matthias Kränzler, Adam Wieckowski, Geetha Ramasubbu +4
The optimization of the energy demand is crucial for modern video codecs. Previous studies show that the energy demand of VVC decoders can be improved by more than 50% if specific…
A Complete End-To-End Open Source Toolchain for the Versatile Video Coding (VVC) Standard
Adam Wieckowski, Christian Lehmann, Benjamin Bross +4
Versatile Video Coding (VVC) is the most recent international video coding standard jointly developed by ITU-T and ISO/IEC, which has been finalized in July 2020. VVC allows for si…
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks
Simon Wiedemann, Heiner Kirchoffer, Stefan Matlage +10
The field of video compression has developed some of the most sophisticated and efficient compression algorithms known in the literature, enabling very high compressibility for lit…
DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression
Simon Wiedemann, Heiner Kirchhoffer, Stefan Matlage +9
We present DeepCABAC, a novel context-adaptive binary arithmetic coder for compressing deep neural networks. It quantizes each weight parameter by minimizing a weighted rate-distor…
Image interpolation using Shearlet based iterative refinement
H. Lakshman, W. -Q Lim, H. Schwarz +3
This paper proposes an image interpolation algorithm exploiting sparse representation for natural images. It involves three main steps: (a) obtaining an initial estimate of the hig…