NUS VV-Streams QoE Model
Subjective QoE dataset and model for volumetric video geometry/texture compression from NUS research lab.
Link
Related resources
- VideoATLASAcademic QoE prediction model release using rebuffering statistics as efficient predictors of viewer quality of experience.
- NetLLMSIGCOMM 2024 research adapting LLMs for networking tasks including adaptive bitrate streaming, viewport prediction, and job scheduling, wit…
- RL-DASHReinforcement learning (Q-learning) based adaptive bitrate control simulated over ns3 and DASH.
- SwWidevine — Swift Widevine CDM ImplementationSwift implementation of Widevine content decryption module logic, targeting macOS/iOS/Windows research use.
- libvoyaplayerFree cross-platform media player library for music and video with broad codec support (AAC/FLAC/MP3/Vorbis/WMA).
- Castlabs DRM GuideTechnical deep-dive on Widevine/PlayReady/FairPlay DRM, covering CENC vs cbcs encryption mode differences.
- How to Build a Multi-DRM SetupEngineering guide covering Widevine/FairPlay/PlayReady stack, CENC, license server complexity, and build-vs-buy cost tradeoffs.
- setup-ffmpegGitHub Action to set up and cache FFmpeg in CI workflows, downloading direct from source with git-master build support.