VCD：用于视频压缩的视频会议数据集
VCD: A Video Conferencing Dataset for Video Compression
AI总结：
提出首个视频会议数据集VCD，涵盖多种摄像头质量和场景，评估H.264等编解码器压缩效率，发现源质量和场景显著影响性能，并开源发布。
摘要：
用于评估视频编解码器的常用数据集均为高质量视频，不能代表视频会议场景中典型使用的视频。我们提出了视频会议数据集（VCD），用于评估实时通信中的视频编解码器，这是首个专注于视频会议的数据集。VCD包含多种摄像头质量以及空间和时间信息，涵盖桌面和移动场景以及两种类型的视频背景处理。我们报告了H.264、H.265、H.266和AV1在低延迟设置下在VCD上的压缩效率，并将其与非视频会议数据集UVC、MLC-JVC和HEVC进行比较。结果表明，源质量和场景对所有编解码器的压缩效率有显著影响。VCD能够评估和调整编解码器以适应这一重要场景。VCD作为开源数据集公开提供，网址为https://github.com/microsoft/VCD。
英文摘要：
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.
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