Build an Automatic Alert System to Easily Moderate Content at Scale with Amazon Rekognition Video

August 21, 2018

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There has been a steep increase in people creating videos, spending time watching videos, and sharing videos. Most of the videos created today are user-generated content, but publishing this raw content comes with risk. To help ensure a positive website experience for customers by removing inappropriate or unwanted content, companies need a scalable content moderation process.In this blog post, I show you how to build a serverless architecture to evaluate video content for enhanced compliance and moderation using Amazon Rekognition Video. Customers (especially media and entertainment companies) face the challenge of categorizing videos accordingly for building age-appropriate audience content or identifying inappropriate content in videos. Amazon Rekognition Video is a deep-learning-powered video analysis service that follows the path of objects, detects activities, and recognizes objects, celebrities, and content types. Amazon Rekognition Video can detect explicit and questionable content, so that you can filter videos based on your applications and your compliance requirements.

Spotlight

MainStream Media Ent., Inc.

MainStream Media Ent. is a comprehensive film, television and video production company integrating culturally diverse content into digital experiences for all consumer global markets.We focus on three key areas. Entertainment, Corporate, Educational & Informational.We specialize in consulting for productions at every stage: development, preproduction, casting, production, post and working with P&A.

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Spotlight

MainStream Media Ent., Inc.

MainStream Media Ent. is a comprehensive film, television and video production company integrating culturally diverse content into digital experiences for all consumer global markets.We focus on three key areas. Entertainment, Corporate, Educational & Informational.We specialize in consulting for productions at every stage: development, preproduction, casting, production, post and working with P&A.

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