4 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…