AWS for Media & Entertainment

NAB SHOW 2025 Demo Showcase

Data science and analytics

Create. Connect. Captivate.

Media companies need efficient ways to search video archives for reusable clips. Video Semantic Search enables semantic search of video archives via natural language queries, pinpointing scenes, actions, people, and objects without the need to manually index and catalog metadata. Powered by HAQM Nova, HAQM Bedrock, HAQM Transcribe, and HAQM Rekognition, it enables media companies, creators, and archivists to increase content discoverability, accelerate retrieval, and unlock value from decades-old archives by transforming unstructured footage into searchable assets.

Architecture

Video semantic search

Meet with an AWS for M&E specialist

Disclaimer

References to third-party services or organizations on this page do not imply an endorsement, sponsorship, or affiliation between HAQM 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 HAQM EC2 instances or using HAQM S3 storage.