AI System Enhances Brand Exposure Analysis in Video ContentAI System Enhances Brand Exposure Analysis in Video Content
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Fernando's avatar
Fernando Lima
• Mar 20
This project showcases an AI-powered system designed to analyze brand exposure in video content beyond traditional metrics. Instead of relying on manual reports or simple mentions, the system detects and measures how brands appear throughout a video, including duration, frequency, and context.
The platform generates structured insights such as: - Total exposure time per brand - Share of voice based on screen presence - Estimated media value (qEMV) based on exposure quality - Exposure intensity over time
This approach enables a more accurate and actionable understanding of brand performance in long-form content such as podcasts, live streams, and creator-led media. Unlike traditional reports, this system focuses not only on if a brand appears, but how it appears, providing deeper analysis for marketing and sponsorship decisions.
Data EngineeringData ScienceEngineering ManagementFFmpegpandasPython
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