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    AI-driven Video Compression Efficiency Enhancement - DeepField-PQO

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    Deployed on AWS
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    DeepField-PQO is an AI-driven pre-processor that adaptively filters input video while preserving perceptual quality, improving compression efficiency. By optimizing video data prior to encoding, it helps customers significantly reduce content delivery and storage costs.

    Overview

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    DeepField-PQO is a next generation AI-based pre-processor that intelligently optimizes video data prior to the existing encoder in the transcoding workflow. The core of this technology is a proprietary AI model trained using a virtual encoding framework that evaluates perceptual quality using VMAF and optimizes compression while preserving visual fidelity. Going beyond perceptual quality preservation, the AI model is designed to remove redundant information while retaining critical visual details, intelligently adapting to the characteristics of the content. As a result, the same visual quality of content can be transmitted and stored using substantially less data. DeepField-PQO delivers massive cost savings and service quality improvements across industries where large-scale video data is essential, such as streaming services and cloud video platforms. As an innovative solution, it offers two core benefits: smoother, sharper video video experiences for end users, and significant bandwidth reduction with improved infrastructure efficiency for service providers.

    Highlights

    • Retrainable : To avoid over-reliance on VMAF, customers can request balanced quality metrics like PSNR, SSIM, and VMAF to align with their intended use when re-training the AI model.
    • Codec-agnostic : Improvement in the coding efficiency is observed with any encoders regardless of the standards, settings, and implementation.
    • Real-time processing : Due to its fast processing speed, DeepField-PQO can be applied to live streaming such as sports and concerts

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 24.04 LTS

    Deployed on AWS

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    Pricing

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    Try this product free for 5 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.

    AI-driven Video Compression Efficiency Enhancement - DeepField-PQO

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    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (15)

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    Dimension
    Cost/hour
    g4dn.2xlarge
    Recommended
    $1.20
    g6e.4xlarge
    $1.20
    g4dn.16xlarge
    $1.20
    g6e.48xlarge
    $6.72
    g6e.24xlarge
    $3.84
    g6e.2xlarge
    $1.20
    g6e.12xlarge
    $3.84
    g4dn.12xlarge
    $3.84
    g6e.xlarge
    $1.20
    g4dn.xlarge
    $1.20

    Vendor refund policy

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    Usage information

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    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    DeepField-PQO v1.0.0

    Resources

    Vendor resources

    Support

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