VisualOn Collaborates with Intel to Optimize Live Video Streaming Efficiency and Quality



CUPERTINO, Calif. — Sept. 11, 2024 VisualOn, a pioneer in video software technology, announced today that they now support Intel Xeon CPUs and Intel Datacenter GPUs to improve live video streaming efficiency and quality. VisualOn’s AI-enhanced universal content-adaptive encoding (CAE) solution, the VisualOn Optimizer, now supports the Intel QuickSync Video (QSV) hardware encoder for H.264, HEVC, and AV1. In addition, the Optimizer is capable of running purely on dual socket servers using the Intel Xeon Scalable processor family with the Intel Data Center GPU Flex Series, bringing significant enhancements to live video streaming.

Leveraging the VisualOn Optimizer, video service providers can significantly reduce the bitrate for live video streaming while maintaining outstanding visual quality, achieving more than 40% bitrate reduction for H.264 encoding, more than 50% reduction for HEVC encoding, and close to 40% reduction for AV1. These savings are achieved while running about the same number of parallel encoding sessions in real time. “Intel has a rich history of developing cutting-edge encoding hardware for the media and entertainment industry, and we’re thrilled to be working with them,” said said Yang Cai, president and CEO at VisualOn. “As live video streaming continues on its rapid growth track, this collaboration will enable video service providers to deliver exceptional-quality viewing experiences while at the same time boosting bandwidth efficiency.”

“We’re pleased to have worked with VisualOn to help optimize their technology to run on Intel products,” said Nagesh Puppala, GM of Intel’s Media and Entertainment Solutions Division.  “By adopting the integrated solution of the VisualOn Optimizer on Intel Xeon processors, media companies can take full advantage of the boost in performance and the efficiency to drive down delivery and storage costs.”

VisualOn Optimizer transforms media streaming by using dynamic coding technology that combines parameter matching, scene recognition, and image quality enhancement. This reduces bitrates by up to 40% — while maintaining or improving video quality, as measured by VMAF scores. It utilizes a machine learning-based, one-pass framework to predict and adjust encoder settings, optimizing each video segment based on its features. Optimizer is available in different versions for various use cases: Optimizer VOD for on-demand video workflows, Optimizer Live for real-time video streaming, and Optimizer Fidelity for reducing the storage costs of massive mezzanine files. 

VisualOn and Intel will release a free white paper highlighting their innovations for live video streaming at IBC2024. In addition, VisualOn will demonstrate the Optimizer at IBC2024, Sept. 13-16 in Amsterdam in stand 5.A52. Further information about VisualOn and the company’s solutions is available at https://www.visualon.com/index.php/visualon-optimizer/

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