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Data Science & Analytics
Super Slow Motion
The Super Slow Motion demonstration uses Amazon SageMaker running DAIN and FILM AI/ML models to create smooth, high-quality slow motion videos by increasing the frame rate of standard footage. This demonstration shows how content creators, sports broadcasters, and filmmakers can generate captivating slow-motion sequences, capturing intricate details and amplifying emotional impact. The demonstration inserts additional frames between existing ones using AI/ML-based depth-aware interpolation. This unlocks a dramatic visual effect that opens new creative options allowing existing footage to be used in new and engaging ways by storytellers.
Architecture
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Disclaimer
References to third-party services or organizations on this page do not imply an endorsement, sponsorship, or affiliation between Amazon or AWS and the third party. Guidance from AWS is a technical starting point, and you can customize your integration with third-party services when you deploy them.
The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.