Reconstructed Slides: New York Times' Connections: A Case Study on NLP in Word Games — Shafik Quoraishee, NYT Games

Source Video

New York Times' Connections: A Case Study on NLP in Word Games — Shafik Quoraishee, NYT Games

Method

This deck is reconstructed from the existing video frame captures by detecting likely slide regions with OpenCV, cropping/upscaling those regions, deduplicating similar crops, and OCRing the cropped slide images locally. It is a cleaner companion to the full-stage frame deck.

Reconstructed Slides

• Source frame: slide-001.jpg
• Crop: full [0, 0, 960, 540] score 160.13

• Source frame: slide-002.jpg
• Crop: contour [0, 0, 960, 540] score 176.55

• Source frame: slide-003.jpg
• Crop: contour [0, 0, 960, 540] score 176.17

• Source frame: slide-004.jpg
• Crop: contour [0, 0, 960, 540] score 176.91

• Source frame: slide-005.jpg
• Crop: contour [0, 0, 960, 540] score 176.61

• Source frame: slide-006.jpg
• Crop: contour [0, 0, 960, 540] score 176.5

Dense Scene-Detected Slide Candidates

• youtube P_uhFGH4J9Y dense slides