NEW LAUNCH! Amazon Rekognition Video eliminates manual cataloging of video which is expensive, error-prone, and hard to scale - MCL339 - re:Invent 2017
During this session, we will provide an overview of Amazon Rekognition Video, a deep learning powered video analysis service that tracks people, detects activities, and recognizes objects, celebrities, and inappropriate content. Amazon Rekognition Video can detect and recognize faces in live streams. Rekognition Video also analyzes existing video stored in Amazon S3 and returns specific labels of activities, people and faces, and objects with time stamps so you can easily locate the scene. For people and faces, it also returns the bounding box, which is the specific location of the person or face in the frame. We will also cover different use cases for Amazon Rekognition Video in applications such as security and public safety, and media and entertainment.
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NEW LAUNCH! Amazon Rekognition Video eliminates manual cataloging of video which is expensive, error-prone, and hard to scale - MCL339 - re:Invent 2017
21. Amazon Rekognition Video
Media and entertainment
Create metadata for celebrities, emotions,
key topics in video with time segments for search
Recommendation engines, ad placement
Automatically detect inappropriate
content, based on market requirements
Extract data in streaming mode to enhance user engagement
27. Amazon Rekognition Video
Other applications
Photo-sharing apps can power smart searches
and quickly find memories, such as weddings or sunsets
Store cameras can begin extracting data such
as person count, flow direction, flow velocity, etc.
Factories can use cameras for safety
management, operational efficiency, etc.
36. Amazon Rekognition Video
API pricing
Free tier
1000 min of free tier per month for the first year
Video analysis
$0.10/min of video processed for all archive API
Stream analysis
$0.12/min of video processed for streaming API