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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.
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Get the best from your video workflow
vScore-d

vScore Quality Metrics Suite

Smarter, Faster Video Analysis

Real-Time Quality, Redefined

MainConcept vScore is a comprehensive suite of advanced video quality metrics, seamlessly integrated into select MainConcept codecs. Designed by MainConcept for modern media workflows, vScore enables true “quality at speed”, delivering perceptual quality insights in real time for both live and VOD workflows, without the complexity or latency of traditional offline measurement tools.

Learn more:

vScore Suite

  • VMAF2
  • VMAF-E2
  • VMAF-CUDA2
  • PSNR1, 2, 3
  • SSIM1, 2, 3

Available for: (1) AVC, (2) HEVC, (3) VVC

Integrated Intelligence

vScore merges directly into the encoding process, eliminating the need for re-encoding, additional decoding, or post-processing steps.

AI-Driven

vScore includes industry-standard metrics alongside VMAF-E. employing the power of AI to enable advanced, low-latency monitoring for live and OTT.

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Multi-Codec, Multi-Platform

With a unified API covering established and next-gen codecs, vScore adapts seamlessly to your workflow.

Actionable, Instant Results

Real-time feedback empowers operators to optimize encoding settings on the fly, fostering quality control and rapid response at any scale.

Metrics built into the codec

VMAF-E

VMAF-E reduces the resource load with an AI-based, lightweight algorithm optimized for real-time operation while also excelling at video-on-demand. With up to 10x faster performance than VMAF, it provides immediate, frame-level and session-summary quality scores with minimal system overhead.
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VMAF-CUDA

GPU-accelerated version of the VMAF video quality assessment algorithm. It allows VMAF calculations to be performed on NVIDIA GPUs, leveraging their parallel processing capabilities to significantly speed up the process.

VMAF

Video Multimethod Assessment Fusion
VMAF, developed by Netflix, uses human vision modeling to predict video quality based on how people actually see and experience it, helping optimize streams for viewers.

PSNR

Peak Signal-to-Noise Ratio
PSNR measures the quality of compressed images or video by comparing original signal strength to noise, with higher values (in dB) indicating superior fidelity.

SSIM

Structural Similarity Index Measure
SSIM evaluates how visually similar two images or videos are by focusing on structural changes that affect perceived quality.

Where vScore excels

live-streaming
Live Streaming

Continuously monitor, report, and optimize perceptual quality with near-zero latency. From dynamic sports broadcasts to large-scale events, ensure every frame meets broadcast standards in real time.

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Video on Demand

Simplify and accelerate your quality control pipeline. vScore eliminates the pain points of post-process VMAF calculations—no decoding, no sync issues, just precise, synchronized measurement even when editing or preprocessing your content.

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Want to learn more?

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Evolve your workflow with smarter, faster video quality assurance.

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