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Today, we can harness the power of machine learning services, such as Amazon Rekognition, Amazon Translate, and Amazon SageMaker, to automatically extract detailed information in the form of metadata to describe video content. Previously, creating the metadata for user-generated and professional video content was performed manually, which was both time-consuming and expensive. With Amazon Machine Learning, this metadata can be automatically generated and combined with viewers’ self-identified interests to create personalized advertising within video streams. This session features a demo of a camera matching objects in real time and a machine learning application suggesting relevant advertisements.
Today, we can harness the power of machine learning services, such as Amazon Rekognition, Amazon Translate, and Amazon SageMaker, to automatically extract detailed information in the form of metadata to describe video content. Previously, creating the metadata for user-generated and professional video content was performed manually, which was both time-consuming and expensive. With Amazon Machine Learning, this metadata can be automatically generated and combined with viewers’ self-identified interests to create personalized advertising within video streams. This session features a demo of a camera matching objects in real time and a machine learning application suggesting relevant advertisements.
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