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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.
PBS innovates using Amazon Web Services (AWS) to bring its annual Short Film Festival to a virtual format, improve the performance of video streams, enhance its archives with deep search functionality, and more using artificial intelligence (AI).
PBS has over 330 member stations and reaches 100 million people through television and 32 million people online monthly with diverse education and entertainment programming and applications.
PBS Interactive, the department responsible for PBS' internet and mobile presence, improved its video streaming performance by migrating to AWS to utilize the content delivery service Amazon CloudFront and increase its existing usage of Amazon S3.
Organizations of all sizes across all industries are transforming their businesses and delivering on their missions every day using AWS. Contact our experts and start your own AWS journey today.
