VCD: A Video Conferencing Dataset for Video Compression
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Abstract (arXiv)
Commonly used datasets for evaluating video codecs are all very high quality and not representative of video typically used in video conferencing scenarios. We present the Video Conferencing Dataset (VCD) for evaluating video codecs for real-time communication, the first such dataset focused on video conferencing. VCD includes a wide variety of camera qualities and spatial and temporal information. It includes both desktop and mobile scenarios and two types of video background processing. We report the compression efficiency of H.264, H.265, H.266, and AV1 in low-delay settings on VCD and compare it with the non-video conferencing datasets UVC, MLC-JVC, and HEVC. The results show the source quality and the scenarios have a significant effect on the compression efficiency of all the codecs. VCD enables the evaluation and tuning of codecs for this important scenario. The VCD is publicly available as an open-source dataset at https://github.com/microsoft/VCD.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 Sep 2023.
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Citing papers per year: 2025: 4; 2026: 4.
8 papers.
- 2025Neural Video Compression using 2D Gaussian Splattingcited by 2
- 2025ICME 2025 Grand Challenge on Video Super-Resolution for Video Conferencingcited by 1
- 2025Compressed Video Super-Resolution based on Hierarchical Encodingcited by 1
- 2026MLVC: Multi-platform Learned Video Codec for Real-World Deploymentcited by 1
- 2025Ensuring Reliable Participation in Subjective Video Quality Tests Across Platformscited by 0
- 2026RRNet: Configurable Real-Time Video Enhancement with Arbitrary Local Lighting Variationscited by 0
- 2026A Camera-Native Talking-Head Video Dataset for Various Computer Vision Taskscited by 0
- 2026NeR-SC: Adapting Neural Video Representation to Screen Contentcited by 0
- 2026MLVC: Multi-platform Learned Video Codec for Real-World Deployment26 Jun 2026
- 2026NeR-SC: Adapting Neural Video Representation to Screen Content26 May 2026
- 2026A Camera-Native Talking-Head Video Dataset for Various Computer Vision Tasks23 Mar 2026
- 2026RRNet: Configurable Real-Time Video Enhancement with Arbitrary Local Lighting Variations5 Jan 2026
- 2025Ensuring Reliable Participation in Subjective Video Quality Tests Across Platforms24 Sep 2025
- 2025Compressed Video Super-Resolution based on Hierarchical Encoding17 Jun 2025
- 2025ICME 2025 Grand Challenge on Video Super-Resolution for Video Conferencing13 Jun 2025
- 2025Neural Video Compression using 2D Gaussian Splatting14 May 2025