Vizrt, the leader in real-time graphics and live production solutions for content creators, has releasesd Viz Libero 8.2.
This update of its sports analysis tool focuses on data with the introduction of Datacenter and unique data visualization tools.
Edouard Griveaud, Senior Product Manager for Viz Libero at Vizrt said: “This release is about getting the most from your data by centralizing data sources while adding more variety, volume, and speed to data visualization and analysis.
“We have natively integrated data providers used most by our customers into Datacenter, and will be adding more in the coming months.”
Vizrt Datacenter makes it much faster and easier for operators to connect live data sources to fields in graphics templates without any scripting, custom coding, or special knowledge.
They simply select which data they need. Operators can also connect incoming live data fields into scenes such as clock-and-score graphics, as well as heatmaps.
Additionally, all data is contained in one repository, so there is no need to switch out providers every time for different matches or leagues. The data can be accessed in a single central, connected Viz Libero project.
Viz Libero 8.2 gives eight new native data visualization options, including penalty maps, attack maps, and player and team comparison statistics.
All the operator needs to do is select the visualization option and click on the match or team to auto-populate data into the graphics.
The Transparent AR feature removes the playing field when flying into AR mode, presenting only the pitch or field grid, giving broadcasters even more AR visualization options.
All the graphics in Viz Libero can be presented as either Augmented Reality or Transparent AR.
Released in Viz Libero 8.1 for basketball and soccer, AI Cutout has been expanded in this release to enhance any sport, including the notoriously difficult-to-key sports of swimming and ice hockey.
The AI Cutout exploits the power of Viz AI to intelligently recognize and mask players to generate near-perfect cutouts in record time, saving valuable processing time.
Griveaud adds: “We timed an experienced operator. What previously took him 12 minutes to create by manually masking the outlines of players, brushing, and finetuning to remove overlaps, could now be done in two minutes, shaving valuable time.
“This makes AI-based analysis, such as 3D flights, possible mid-match, to give viewers richer insights into the game.”