CASE STUDY
Lola VFX and VAST Data – essentials
Jeff Denworth , Co-Founder , VAST Data
What do some of the most popular blockbuster films and TV series of the last few years – Barbie , Top Gun Maverick , Guardians of the Galaxy , The Avengers , and Game of Thrones – have in common ?
Lola VFX is a visual effects pioneer adopting new AI technologies and Deep Learning tools to push the boundaries of cinematic artistry . To achieve this goal , Lola VFX requires / uses immense volumes of data , which , without the right data platform supporting it , can slow down production significantly .
Managing these massive amounts of data presents several challenges :
1 . The transfer of huge data volumes from the filming location to central infrastructure creates significant delays .
2 . Sharing access to these large files with VFX artists across the globe can be a slow and laborious process .
3 . The necessity for real-time playback of high-resolution content during review and approval stages is critical but was consistently impeded by persistent caching issues .
Lola VFX turned to VAST Data to solve these problems and to future-proof their infrastructure as they increasingly turn to AI and Deep Learning within the production process .
Paving the way for a new level of storytelling with innovative visual effects , Lola Visual Effects ( Lola VFX ) is a company that specializes in providing computer-generated ( CG ) effects for live-action photography in feature films , episodic content and streaming productions .
Founded in January 2004 with an HQ in Los Angeles , Lola is owned and operated by its founders , Edson Williams and Thomas Nittmann .
Lola is known for its expertise in creating digital humans , which involves enhancing or altering an actor ’ s appearance on-screen .
This service is akin to photoshopping a still image but is significantly more complex due to multiple frames , actor movement , lighting changes and camera motion .
The VAST Data Platform supercharges and simplifies data management for industryleading media and entertainment organisations , significantly reducing playback delays , improving editing efficiency , and enabling more collaborative film and television production processes .
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