This site collects various assets from our publications enabling reproducibility.

  • MMSys 2024: COCONUT: Content Consumption Energy Measurement Dataset
    for Adaptive Video Streaming
  • IEEE Access 2023: LLL-CAdViSE: Live Low-Latency Cloud-based Adaptive Video Streaming Evaluation framework
  • IEEE Access 2022: DoFP+: An HTTP/3-Based Adaptive Bitrate Approach Using Retransmission Techniques
  • ACM MMSys’22: Video Complexity Analyzer (VCA) [Online Documentation][Github]
  • ACM MMSys’22: Video Complexity Dataset (VCD) [Link]
  • ACM MMSys’22: Multi-Codec Ultra High Definition 8K MPEG-DASH Dataset
  • MMM’22: MoViDNN is an Android application that can be used to evaluate DNN based video quality enhancements for mobile devices.
  • ACM MMSys’20: CAdViSE: Cloud-based Adaptive Video Streaming Evaluation Framework for the Automated Testing of Media Players
  • HAS Clip Stitcher: Stitch media streaming session clips from CAdViSE and calculates MOS from P.1203 model
  • IEEE VCIP 2021: “On the Impact of Viewing Distance on Perceived Video Quality”. [Link]
  • Original ITEC DASH Dataset (updated 2014) [Link], Multi-Codec DASH Dataset [Link]