Sold by: BLUEDOT, INC.
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
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
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 22.04
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.
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.
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 |
Dimensions summary
You pay by the hour based on the AWS GPU instance you run this AI video pre-filter software on. Pricing is usage-based, so charges accrue only while an instance runs. The dimensions fall into two instance families: g4dn and g6e. Within each family, sizes range from xlarge up through larger multi-GPU configurations, plus a g4dn.metal bare-metal option. Larger sizes carry more GPU, compute, and memory capacity, so their hourly rates scale with that capacity. You choose the instance that matches your processing throughput needs and pay the matching hourly rate.
Top-of-mind questions for buyers
You pay for each hour the software runs on a chosen GPU instance. One hour equals one running instance, no matter its size. A g6e.48xlarge running for an hour bills the same way as a g4dn.xlarge, just at that instance's rate.
Software charges accrue only while an instance runs. Stopped or terminated instances do not add software fees. Note that underlying AWS storage or other resource fees may still apply while an instance is stopped, but the software meters running time only.
Both families run the same AI video pre-filter that improves encoder compression efficiency. They differ in GPU hardware, compute, and memory. You match the instance family and size to your processing throughput needs, then pay that instance's hourly rate.
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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
v1.0.1 release
Additional details
Usage instructions
Version v1.0.1
Resources
Vendor resources
Support
Vendor support
If you need assistance, please send an e-mail to contact@blue-dot.io and we will support you as quickly as possible.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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