Reconstructed Slides: The rise of the agentic economy on the shoulders of MCP — Jan Curn, Apify

Source Video

The rise of the agentic economy on the shoulders of MCP — Jan Curn, Apify

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: full [0, 0, 960, 540] score 177.17

• Source frame: slide-003.jpg
• Crop: full [0, 0, 960, 540] score 176.02

• Source frame: slide-004.jpg
• Crop: full [0, 0, 960, 540] score 174.11

• Source frame: slide-005.jpg
• Crop: full [0, 0, 960, 540] score 174.36

• Source frame: slide-006.jpg
• Crop: full [0, 0, 960, 540] score 170.91

• Source frame: slide-007.jpg
• Crop: full [0, 0, 960, 540] score 167.22

• Source frame: slide-008.jpg
• Crop: full [0, 0, 960, 540] score 164.79

• Source frame: slide-009.jpg
• Crop: full [0, 0, 960, 540] score 168.61

• Source frame: slide-010.jpg
• Crop: full [0, 0, 960, 540] score 166.53

• Source frame: slide-011.jpg
• Crop: full [0, 0, 960, 540] score 158.32

• Source frame: slide-012.jpg
• Crop: full [0, 0, 960, 540] score 166.1

• Source frame: slide-013.jpg
• Crop: full [0, 0, 960, 540] score 165.07

• Source frame: slide-014.jpg
• Crop: full [0, 0, 960, 540] score 163.75

Dense Scene-Detected Slide Candidates

• youtube blW lSd5CYQ dense slides