SwarmLayer: A Hybrid P2P Assisted Solution for MPEG-DASH Streaming
SwarmLayer is a hybrid P2P layer for MPEG-DASH that uses WebRTC and Service Workers to offload up to 96% of server traffic with no changes to existing players.
SwarmLayer is a hybrid P2P layer for MPEG-DASH that uses WebRTC and Service Workers to offload up to 96% of server traffic with no changes to existing players.
A QoE-as-a-Service framework for 5G vehicular environments that maps radio telemetry to perceptual video quality metrics, enabling network-side QoE monitoring for OTT streaming …
SSRS for LL-DASH live streaming uses server-measured client request delays to adapt video quality, achieving good quality-latency trade-offs without player modifications.
A testbed for evaluating LL-DASH live streaming from SRT/RTSP sources, achieving end-to-end delays under 2 seconds using FFmpeg and open-source players.
PhD thesis proposing the Look Ahead ABR algorithm for DASH, SAND-based multi-user coordination mechanisms, and VMAF-based QoE models for adaptive video streaming.
Sistema de streaming DASH coordinado mediante SAND que mejora la QoE en entornos inalámbricos con múltiples usuarios.
Sistema de streaming DASH coordinado mediante SAND que mejora la QoE en entornos inalámbricos con múltiples usuarios mediante intercambio de información de red.
Three new objective QoE models for DASH based on PSNR and VMAF, validated subjectively and via the Look Ahead ABR algorithm, outperforming existing models.
The Look Ahead ABR algorithm for DASH streaming leverages variable bitrate information from constant-quality encodings to minimize stalls while maintaining high QoE, outperforming …
Look Ahead is an ABR algorithm for DASH that uses knowledge of upcoming segment bitrates from constant-quality encodings to reduce stalls and improve QoE.