Guidance for Semantic Video Search on AWS
Overview
This Guidance demonstrates how to conduct a semantic video search powered by generative artificial intelligence (AI). It streamlines the process of finding and extracting relevant video segments from vast amounts of video data. With natural language queries, it can quickly search for specific scenes, actions, concepts, people, objects, and more without the need to watch the full length of original videos. Designed to drive cost efficiency and scalability in media supply chain management, this Guidance is built for those who want to efficiently generate content such as trailers, sports highlights, captions, and descriptions from their existing video assets through automation.
How it works
These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.
Well-Architected Pillars
The architecture diagram above is an example of a Solution created with Well-Architected best practices in mind. To be fully Well-Architected, you should follow as many Well-Architected best practices as possible.
Disclaimer
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.
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