AWS Elemental Inference
#283 · Level 4 · Operations and specialized areas · Specialized areas (IoT, Media, Game, HPC …)Concept
Section titled “Concept”AWS Elemental Inference is a real-time service that easily applies machine learning models to video, audio and images to automatically analyze, classify and extract information. It has a few ready-made features: Smart crop crops video automatically, and Event clipping cuts out the parts of a video with important events as separate clips. Smart subtitles listens to the audio (using speech recognition) and creates subtitles. Contextual metadata classifies what is in each shot and scene, so that ads matching the topic can be shown. With Functions you can run your own prompts on your chosen model in Amazon Bedrock, and in the Playground you can check smart crop results on recorded video without a live feed.
Simple example
Section titled “Simple example”A quick editor who, while watching a live match, cuts out the important moments, writes subtitles, and tells you what is in each scene.
Why it’s needed
Section titled “Why it’s needed”Cutting clips, writing subtitles or labeling every scene of a video by hand takes a lot of time. For live video, this work needs to be done while it is happening (real-time).
Where it’s used
Section titled “Where it’s used”- Automatic analysis and classification of video, audio and images.
- Creating subtitles from audio.
- Making clips of important events.
- Showing suitable ads by understanding what a video is about.
Key terms
Section titled “Key terms”| English | Simple meaning |
|---|---|
| Smart crop | Cropping video automatically |
| Event clipping | Cutting out the parts with important events as separate clips |
| Contextual metadata | A description of what is in each scene |
Azure equivalent
Section titled “Azure equivalent”Azure AI Video Indexer (closest)
Related
Section titled “Related”AWS Elemental MediaLive · Amazon Rekognition · Amazon Bedrock
Learn more
Section titled “Learn more”For details and the latest information, see the official documentation: