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MainConcept Releases Codec SDK 16.0 Featuring AI-Powered Video Quality Metric VMAF-E and Workflow Innovations
MainConcept Unveils 20% Efficiency Gains for its HEVC Encoder and Adds JPEG XS to its Easy Video API
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Introducing MainConcept Easy Video API (EVA) - control hardware and software codecs through a single API
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AutoLive Encoding

Tune performance on every frame to maintain consistent encoding time.
Learn more
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Introducing EVA

MainConcept Easy Video API (EVA) - control hardware and software codecs through a single API
Learn more
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CMAF: Low-Latency at Scale

Watching live sports or any live event is all about the moment. Any significant delay can be frustrating. This paper introduces the options, highlighting what sets CMAF apart.
Download now
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Get the best from your video workflow
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VMAF-E

Real-Time, AI-Powered, and Live-Ready

Rethinking Video Quality for Live and On-Demand

VMAF-E, developed by MainConcept and part of the vScore video quality metrics suite, is an AI-powered breakthrough in video quality measurement. Building on Netflix’s widely-used VMAF metric, VMAF-E brings perceptual video analysis into live production, unlocking instant, actionable insights for content creators, broadcasters and streaming platforms.

Learn more:


VMAF-E is available in the MainConcept HEVC Encoder released with SDK 16.0.

Why VMAF-E?

Conventional video quality tools were designed for file-based workflows: slow, fragmented, and never intended for real-time feedback. VMAF-E changes that.

AI-Accelerated Speed

Up to 10x faster than traditional VMAF, delivering immediate scoring for both live and on-demand content.

Live-Ready Accuracy

Performance closely matches standard VMAF, but is optimized for dynamic, time-sensitive streams.

Zero-Latency Insight

Built into the encoding process, VMAF-E analyzes in coding order, not presentation order, so your results are truly real-time.

Trusted Results

Benchmarked against PSNR and VMAF-CUDA , VMAF-E’s scores consistently align within similar levels.

Engineered for maximum flexibility and efficiency

Ideal for Live Streaming, great for VOD too

Get summary scores at the session’s end, or per-frame results as encoding happens, perfect for monitoring or in-depth analysis.

Smarter quality control

Loop VMAF-E data directly into your workflow for real-time optimization, letting you adjust encoding on the fly.

CPU and Workflow-Friendly

Reduced processing requirements free up CPU resources for encoding, instead of after-the-fact analysis.

See a Tangible Impact for Live and VOD

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Live Streaming

Standard VMAF is too resource intensive for live use. Operators need to know if stream quality is holding up now, not later. With VMAF-E, instantly assess, optimize, and track key metrics frame-by-frame. No more waiting, no more cumbersome syncing.

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Video on Demand

VMAF for VOD often requires decoding source and output, perfect frame sync, and re-processing for every content edit or filter. With VMAF-E, direct, inline measurement keeps analysis perfectly aligned, eliminates redundant steps, and simplifies even the most customized post-production pipeline.

Technical Highlights

01

AI-Powered Estimation

Neural network delivers perceptual scoring, approximating VMAF to within ±2 points for robust decision-making.

02

Session and Frame Logging

Choose between instant one-shot results or granular per-frame records for deeper insights.

03

Industry-First for HEVC

VMAF-E is MainConcept’s first production-ready AI metric, a testament to our commitment to smarter, more accessible video analytics.

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Want to learn more?

Contact us

Whether you’re focused on live events or on-demand delivery, VMAF-E gives you quality data in real time, unlocking new options for innovation and efficiency.