Customer Stories / Telecommunications

2020

PBS Streamlines Media Content Operations Using Amazon Rekognition

Public Broadcasting Service (PBS) shares how it is using Machine Learning and AI on AWS to streamline media content operations by creating an enterprise knowledge graph to gather granular moment, segment, or even frame level metadata on attributes including facial object and mood recognition.

America's Public Broadcasting Service (PBS) has over 330 member stations and reaches millions through television and online with diverse education and enterainment programming and applications. PBS uses Amazon Web Services (AWS) machine learning and artificial intelligence (AI) services to streamline content operations. Using Amazon Rekognition, PBS created an enterprise knowledge graph to gather content metadata at the segment, clip, or even the frame level, and easily attribute facial, object, and mood recognition information to over 60,000 titles within the PBS digital library.

To learn more, watch the video below and visit aws.amazon.com/media.

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We uploaded our content to an S3 bucket with AWS services providing the back end."

Sally Hubbard
Media Management Director, PBS

AWS Services Used

Amazon Rekognition

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