Focusing on innovative, perceptually-driven, low-latency video coding.
Tracks: 50kbps & 200kbps
The VCIP 2025 Low-Bitrate Video Compression Challenge aims to advance video compression technology for extremely limited bandwidth scenarios, with a particular focus on ultra low-bitrates (50kbps and 200kbps) where existing methods suffer significant degradation in quality and efficiency. While mainstream streaming services operate at higher bitrates, real-world applications such as emergency command, disaster relief, and field rescue communications often face severe bandwidth restrictions, resulting in poor video quality. Traditional compression benchmarks have largely emphasized objective metrics at conventional bitrates, leaving a critical gap in research targeting ultra low-bitrate environments and perceptual quality assessment. To address this gap, the challenge emphasizes both extreme bitrate constraints and subjective visual quality evaluation, encouraging innovative AI-powered and perceptually optimized codecs for low-latency, bandwidth-constrained scenarios. The challenge further encourages the exploration of generative AI and foundational models, reflecting recent advances in video diffusions, text-to-video and video synthesis, to fundamentally improve compression efficiency and perceptual quality at ultra low bitrates.
Note: All complexity constraints are evaluated based on the average computational cost per pixel for 720P resolution video. For each track, the encoding complexity is constrained to be no more than 1.5× the decoding complexity.
Our validation dataset consists of 97 720p video sequences.
Downloads:
Baidu Netdisk (access code: d6yx),
Google Drive.
Congratulations to the winning teams, and sincere thanks to all teams for advancing research in ultra low bitrate video compression.
For inquiries, please contact:
Prof. Guo Lu (luguo2014@sjtu.edu.cn)
Jing Wang (wangjing215@huawei.com)
Yunuo Chen (cyril-chenyn@sjtu.edu.cn)
Chuqin Zhou (zhouchuqin@sjtu.edu.cn)
Yibo Shi (shiyibo@huawei.com)
Yuxin Zhao (zhaoyuxin22@huawei.com)
The PSNR metric will be computed in the YUV420 domain.
We will use a weighting scheme of 6 : 1 : 1 for the Y, U and V components, respectively
(i.e., PSNRY : PSNRU : PSNRV = 6 : 1 : 1).
There is no official constraint on the intra-period for the challenge.
Participants are free to choose any intra-period configuration, including open-GOP structures.
Final Materials:
.mp4 format using the specific FFmpeg command:
ffmpeg -s {width}x{height} -pix_fmt yuv420p -r {fps} -i {yuv_file}.yuv -c:v libx264 -crf 1 -r {fps} -y {output_file}.mp4
Submission Method: Please upload all final materials to either Baidu Netdisk or Google Drive and send the shareable link to us.