The Video Conferencing Dataset (VCD) is designed to evaluate video codecs for video conferencing. The VCD encompasses a broad range of camera qualities, along with spatial and temporal information. This dataset comprises 160 video clips, organized into four scenarios. Each sequence is presented in 1080p resolution, at 30 FPS, with a duration of 10 seconds, and features a person visible throughout the entire video. For further details, please refer to VCD: A Video Conferencing Dataset for Video Compression.

@inproceedings{naderi2024vcd,
  title={VCD: A Video Conferencing Dataset for Video Compression},
  author={Naderi, Babak and Cutler, Ross and Khongbantabam, Nabakumar Singh and Hosseinkashi, Yasaman and Turbell, Henrik and Sadovnikov, Albert and Zou, Quan},
  booktitle={ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  pages={3970--3974},
  year={2024},
  organization={IEEE}
}

Clone the repository and use one of the methods below to download the video clips:

git clone https://github.com/microsoft/VCD.git
cd download

Run the bash code to download the files in the current directory:

# download yuv files
bash download-vcd1-yuv.sh

# download mp4 files
bash download-vcd1-mp4.sh

1. Install the required libraries.

pip install -r requirements.txt

2. Change LOCAL_PATH to a path in your file system and run the following command. To download mp4 files, replace yuv_list.txt with mp4_list.txt.

python downloader.py --list-of-files yuv_list.txt  --local-path LOCAL_PATH

The dataset includes 160 videos, organized into four scenarios with 40 clips each:

40 webcam videos in a talking head scenario with at least 30% of clips featuring active speaking. Participants were asked to perform gestures, movements, or read a text during recording.

Similar to the Talking Head scenario, however, backgrounds are replaced with two popular backgrounds used in Teams.

A scenario similar to the Talking Head but with heavy background blur.

40 talking head videos recorded in a mobile scenario.

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Microsoft and any contributors grant you a license to the Microsoft documentation in this repository under the Creative Commons Attribution 4.0 International Public License, see the LICENSE file, grant you a license to any code in the repository under the MIT License, see the LICENSE-CODE file, and grant you a license to dataset in the repository under the Community Data License Agreement – Permissive, Version 2.0 - CDLA, see the LICENSE-DATA file.

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This dataset is released under the Community Data License Agreement – Permissive, Version 2.0 - CDLA, see the LICENSE-DATA file.

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