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Data Science & Analytics
Video Semantic Search
Media companies, content creators, and video archivists often possess terabytes or even petabytes of video footage that spans decades. This large volume of material makes it difficult to sort and find content. The Video Semantic Search demonstration leverages Amazon Bedrock to enable quick and efficient searching for specific scenes, actions, concepts, people, or objects within large volumes of video data using natural language queries. By harnessing the power of semantic understanding and multimodal analysis, users can formulate intuitive queries and receive relevant results, significantly enhancing the discoverability and usability of extensive video libraries. This in turn enables rapid footage retrieval, and unlocks new creative possibilities.
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.