Performance evaluation of peer-assisted MPEG-DASH streaming in multi-user mobile scenarios
Performance evaluation of peer-assisted MPEG-DASH streaming with multiple concurrent users in mobile scenarios.
Performance evaluation of peer-assisted MPEG-DASH streaming with multiple concurrent users in mobile scenarios.
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 …
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.
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.
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 …
On-board entertainment system for buses: passengers play content from their own devices on the vehicle screens
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.