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You can keep the index current by using AWS Lambda functions to automatically add new video labels to the search index when a new video is uploaded in Amazon S3.

Then you can use this index with Amazon Elastic Search Service to quickly locate video content.

Amazon Rekognition is based on the same proven, highly scalable, deep learning technology developed by Amazon’s computer vision scientists to analyze billions of images and videos daily, and requires no machine learning expertise to use.

Amazon Rekognition is a simple and easy to use API that can quickly analyze any image or video file stored in Amazon S3.

Your application latency remains consistent, even as your request volume increases to tens of millions of requests. When analyzing video, you can also identify specific activities happening in the frame, such as "delivering a package" or "playing soccer".

We look forward to continuing our partnership with AWS and implementing their computer vision solutions in more of our products.” “Amazon Rekognition makes it easy to quickly search for similar faces within large collections that may contain millions of face templates.We look forward to continuing to develop the partnership with AWS for high quality and fast experiences for Pinners and businesses on Pinterest.” “Performance data isn’t a problem, but understanding why certain creative assets work better than others, and then having the ability to act on that information is.By building Vid Mob’s Agile Creative Suite™ on top of Amazon Rekognition, we are addressing two of the most significant marketer pain points.For example, you can use the movement of athletes during a game to identify plays for post-game analysis.Amazon Rekognition helps you identify potentially unsafe or inappropriate content across both image and video assets and provides you with detailed labels that allow you to accurately control what you want to allow based on your needs.You can create an AWS Lambda function that automatically adds newly detected image labels directly into an Elasticsearch search index when a new image is uploaded into S3.Get started » Amazon Rekognition allows you to automatically detect inappropriate content in images using the Image Moderation API.The API returns a confidence score for a detailed set of content categories, which allows you to create your own rules around what is appropriate for the culture and demographics of your users.Get started » Amazon Rekognition can detect emotions like happy, sad, or surprised from facial images.In video, you can also measure how these things change over time, such as constructing a timeline of the emotions of an actor.You can capture the path of people in the scene when using Amazon Rekognition with video files.“As a visually-driven platform, Pinterest relies heavily on the speed and quality of images, but the text behind those images is just as important, as it provides context and makes Pins actionable for our 200M active Pinners.In working with Amazon Rekognition Text in Image, we can better extract the rich text captured in images at scale and with low latency for the millions of Pins stored in Amazon S3.Amazon Rekognition is always learning from new data, and we are continually adding new labels and facial recognition features to the service.Amazon Rekognition provides consistent response times regardless of the volume of requests you make.

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