Automating gameplay summary by identifying key events
Nature of implementation
Nature of organization
Intelligent game analysis and summarization
Deep Learning, Object Detection & Tracking, Video & Image Analytics, Data Science
Background & Case
Computer gaming is growing exponentially with the rise of streaming platforms & cybersports competitions commanding high viewership. However, only 15% of the gameplay time has key events which interests viewers.Editing long hours of gameplay video is a tedious task for gamers & broadcasters to keep the content relevant with right highlights which demanded a solution.
Combining deep learning models with computer vision capabilities, an AI solution was developed for generating automated summary by analyzing the gameplay video, identifying key events and stitching together selected highlights from it. The solution had been deployed and is currently being used.
Value & Impact
The AI brings immense value to cybersports competitions generating automated highlights, creation of short reels or highly relevant gameplay video in minutes saving a lot of time and efforts while automating competition workflows and keeping gamers’ social media content highly relevant.
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