Page content last modified on 2025-03-06.
Our team is a part of the Computing Sciences
unit
at Tampere University, Finland. With over two decades of
experience, we've been at the forefront of media processing systems research. In close collaboration with
industry
leaders, we've developed innovative open-source solutions and datasets for video coding, processing, and
streaming. Our expertise covers a broad range, from optimizing low-power embedded devices to maximizing the
capabilities of expansive cloud environments.
Our open-source solutions:
All presented solutions are available on our github, or directly on our website (Datasets).
Kvazaar
our HEVC encoder
uvg266
our VVC encoder
uvgVPCCenc
our V-PCC encoder
UVG Dataset
our 4K dataset
UVG-VPC Dataset
our pointcloud dataset
uvgRTP
our RTP library
CiThruS
our virtual city simulation
uvgVenctester
our video encoder testing framework
uvgComm
our video communication software
uvgKvazaarHW
our hardware HEVC intra encoder
Awards:
- 2024: Best Paper at VCIP 2024 for "Vectorized angular intra prediction for practical VVC encoding"
- 2023: Tampere University Open Science Promoter Award
- 2020: Best Open Dataset and Software Paper at MMSys’20 for "Kvazaar 2.0: fast and efficient open-source HEVC inter encoder"
- 2016: Winner of ACM Multimedia Open Source Software Competition
International and national projects involvement:
Contact Information:
You can contact us either using our mailing list (ultravideo[at]tuni.fi), by joining our Discord server or contacting us directly:- Head of the Group: Prof. Jarno Vanne
- Video Encoding & AI applications: Assist. Prof. Alexandre Mercat
- Hardware Development: Dr. Panu Sjövall
- AR/VR/XR Technologies: Dr. Guillaume Gautier
