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False Positives Are the Trust Problem in Automated Sports Highlights

False Positives Are the Trust Problem in Automated Sports Highlights

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3 min read
Audio as a Detection Signal in Live Sports: Why the Crowd Often Beats the Camera

Audio as a Detection Signal in Live Sports: Why the Crowd Often Beats the Camera

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3 min read
Latency Budgets in a Streaming Highlight Pipeline: Where the Seconds Actually Go

Latency Budgets in a Streaming Highlight Pipeline: Where the Seconds Actually Go

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3 min read
One Pipeline, 50+ Sports: What It Actually Takes to Generalize Highlight Detection

One Pipeline, 50+ Sports: What It Actually Takes to Generalize Highlight Detection

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2 min read
AI Archive and Metadata Management: Turning Years of Sports Footage Into a Searchable Asset

AI Archive and Metadata Management: Turning Years of Sports Footage Into a Searchable Asset

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2 min read
Edge vs Cloud Inference for Live Sports Highlights: Where Should the Model Run?

Edge vs Cloud Inference for Live Sports Highlights: Where Should the Model Run?

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2 min read
Generating a Live Recap Before the Match Ends: Why Real-Time Recaps Are Hard

Generating a Live Recap Before the Match Ends: Why Real-Time Recaps Are Hard

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2 min read
1,000 Hours of Live Sport: Why Highlight Detection Should Concentrate Up to 99% Accuracy on the Moments That Decide a Match

1,000 Hours of Live Sport: Why Highlight Detection Should Concentrate Up to 99% Accuracy on the Moments That Decide a Match

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5 min read
Auto-Reframing Live Video to Vertical: Why It Is Harder Than a Crop

Auto-Reframing Live Video to Vertical: Why It Is Harder Than a Crop

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2 min read
Real-Time vs Batch: Why Live Sports Highlights Need a Different Architecture

Real-Time vs Batch: Why Live Sports Highlights Need a Different Architecture

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2 min read
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