4 citations · 7 across the 4 of their papers we have counts for
5 papers
PyStream: Enhancing Video Streaming Evaluation
Samuel Radler, Leon Prüller, Emanuele Artioli +2
As streaming services become more commonplace, analyzing their behavior effectively under different network conditions is crucial. This is normally quite expensive, requiring multi…
Perceptual Refinement of an End-to-End Video Streaming Pipeline via Generative AI Layers
Emanuele Artioli, Farzad Tashtarian, Christian Timmerer
Traditional codecs treat every region of a frame alike; a generative layer can instead degrade the regions a viewer attends to least and reconstruct them at the client. We present…
Thin-Client Interactive Gaussian Adaptive Streaming over HTTP/3
Emanuele Artioli, Philipp Fößl, Daniele Lorenzi +4
Recent advancements in 3D Gaussian Splatting (3DGS) have enabled photorealistic rendering of complex scenes, yet widespread adoption on mobile and Extended Reality (XR) devices is…
End-to-End Learning-based Video Streaming Enhancement Pipeline: A Generative AI Approach
Emanuele Artioli, Farzad Tashtarian, Christian Timmerer
The primary challenge of video streaming is to balance high video quality with smooth playback. Traditional codecs are well tuned for this trade-off, yet their inability to use con…
DIGITWISE: Digital Twin-based Modeling of Adaptive Video Streaming Engagement
Emanuele Artioli, Farzad Tashtarian, Christian Timmerer
As the popularity of video streaming entertainment continues to grow, understanding how users engage with the content and react to its changes becomes a critical success factor for…