Beamr and Oracle Cloud Infrastructure (OCI) to Demonstrate Optimization of High-Quality, High-Resolution Videos Rendered from 3D models at SIGGRAPH 2024

Beamr Imaging Ltd., a leader in video optimization technology, has announced a collaboration with Oracle Cloud Infrastructure (OCI) to demonstrate the optimized production of large, high-quality videos rendered from 3D designs. The demonstration will take place at SIGGRAPH 2024, the premier conference on computer graphics and interactive technologies, held in Denver, Colorado, from July 28 to August 1, 2024.

Subtopics and Pointers

1. Importance of High-Resolution Videos for 3D Designs

• Essential for capturing intricate details, textures, and geometries.
• High-resolution necessary for accurate light and shadow representation.
• Challenges with large video file sizes for delivery and viewing.

2. Beamr’s Optimization Solution

• Beamr Cloud video optimization service supported by OCI.
• Demonstration showcases reducing a large video file to one-fourth of its original size.
• Optimization of a video from an OpenUSD-based scene developed on NVIDIA Omniverse.

3. Technology and Demonstration Details

• Beamr’s patented content-adaptive-bitrate technology (CABR).
• Efficient optimization without compromising video quality.
• High-performance video services accelerated by NVIDIA L40S GPUs.
• Available for OCI customers in the Oracle Cloud Marketplace.

4. Benefits for Users

• Easy connection of video libraries.
• Automatic optimization of videos at scale.
• Improved efficiency in sharing complex 3D visualizations with stakeholders.

5. Event Information

• Demonstration at Oracle booth at SIGGRAPH from July 30-August 1, 2024.
• Overview of the collaboration between Beamr Imaging and Oracle Cloud Infrastructure.
• Expected impact and future implications for video optimization in 3D design workflows.

Beamr Imaging and Oracle Cloud Infrastructure's demonstration at SIGGRAPH 2024 highlights the cutting-edge capabilities of video optimization for high-resolution 3D designs. By reducing file sizes without compromising quality, this collaboration offers an efficient solution for delivering detailed and high-quality visualizations.