VisualOn’s New Optimizer CAE Solution Sets The Standard For Video Streaming

VisualOn, a pioneer in video software technology, has announced significant enhancements for its AI-enhanced universal content-adaptive encoding (CAE) solution, the VisualOn Optimizer.

At the 2024 NAB Show, VisualOn will demonstrate three ways that video service providers can maximize video efficiency with its new Optimizer Hi-Fi for video storage applications, Optimizer VOD for VOD video streaming, and Optimizer Live for real-time streaming. Using VisualOn’s innovative Optimizer solutions, service providers can drastically simplify video streaming, reduce delivery costs, and elevate viewing experiences.

Optimizer Hi-Fi is a state-of-the-art, visually lossless file-to-file video transcoding solution. Leveraging VisualOn’s CAE technology, Optimizer Hi-Fi reduces the storage requirements of massive mezzanine video files by up to 80%. Optimizer Hi-Fi achieves visually lossless quality with consistently high VMAF, PSNR, and SSIM scores, while simultaneously reducing server-to-server and cloud-to-premise file transfer times. Optimizer Hi-Fi is a must-have solution for delivering high-quality video and optimizing storage and bandwidth resources.

Optimizer VOD is an AI-enhanced universal CAE solution for VOD streaming. Based on efficient AI models, it analyzes content before transcoding and dynamically configures the transcoder to achieve target quality (as measured by VMAF score) using the minimum number of bits, reducing average bitrate by over 54% in production without compromising visual quality. In addition, Optimizer VOD supports VOD workflows through efficient implementation of simultaneous multi-ABR ladder transcoding, and significantly reduces CPU consumption compared to dual-pass encoding methods.

Optimizer Live is designed for live streaming use cases without adding any additional latency. Using the AI-enhanced CAE solution, video service providers can achieve target quality with bitrate savings of up to 60%. Optimizer Live effectively halves average bitrates and reduces peak bitrates by more than one-third, while preserving or improving visual quality for a wide variety of different content types.

Optimizer works natively with the FFmpeg framework. It has already been integrated with, and verified for, NVIDIA’s H.264, HEVC, and AV1 GPU accelerated encoders; NETINT’s ASIC encoders; as well as open-source encoders such as x264, x265, and SVT-AV1.

You might also like...

Next-Gen 5G Contribution: Part 1 - The Technology Of 5G

5G is a collection of standards that encompass a wide array of different use cases, across the entire spectrum of consumer and commercial users. Here we discuss the aspects of it that apply to live video contribution in broadcast production.

Why AI Won’t Roll Out In Broadcasting As Quickly As You’d Think

We’ve all witnessed its phenomenal growth recently. The question is: how do we manage the process of adopting and adjusting to AI in the broadcasting industry? This article is more about our approach than specific examples of AI integration;…

Designing IP Broadcast Systems: Integrating Cloud Infrastructure

Connecting on-prem broadcast infrastructures to the public cloud leads to a hybrid system which requires reliable secure high value media exchange and delivery.

Video Quality: Part 1 - Video Quality Faces New Challenges In Generative AI Era

In this first in a new series about Video Quality, we look at how the continuing proliferation of User Generated Content has brought new challenges for video quality assurance, with AI in turn helping address some of them. But new…

Minimizing OTT Churn Rates Through Viewer Engagement

A D2C streaming service requires an understanding of satisfaction with the service – the quality of it, the ease of use, the style of use – which requires the right technology and a focused information-gathering approach.