Editing on the new Nvidia GPUs is going to be wild!
Updated: January 19, 2025
Summary
The video showcases a unique approach to rigging a drift car at a racetrack using multiple cameras without the need for transcoding or proxies. The speaker demonstrates a multi-cam sequence technique by importing clips directly into a timeline for simultaneous playback and color correction. Additionally, they experiment with AI technology to generate various styles of clips related to drifting, showcasing the integration of AI tools in video editing for creative storytelling in a high-speed environment.
Setting up Cameras at Racetrack
The speaker gathered multiple cameras, including Sony A7 R5, Sony fx3, Canon R5, DJI run 4D, Sony fx9, GoPro Hero 13A 13B, Hero 13 on the fpvdrone, and red Raptor, to rig a drift car at the racetrack.
Direct Editing without Transcoding
No transcoding or proxies were used, and the clips were imported directly into a timeline for color correction and simultaneous playback of all streams in the same sequence, showcasing a multi-cam sequence technique.
AI Video Editing Experiment
The speaker experimented with AI technology to generate different styles of clips related to drifting tech, demonstrating the use of AI tools in video editing.
FAQ
Q: What cameras were used to rig the drift car at the racetrack?
A: The cameras used were Sony A7 R5, Sony fx3, Canon R5, DJI run 4D, Sony fx9, GoPro Hero 13A 13B, and red Raptor.
Q: How were the clips imported for editing in the multi-cam sequence technique demonstrated?
A: The clips were imported directly into a timeline without transcoding or proxies.
Q: What was the purpose of using AI technology in the video editing process?
A: The purpose was to generate different styles of clips related to drifting tech.
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