Reconstructed Slides: Realtime Data Connectivity for AI: Tanmai Gopal

Source Video

Realtime Data Connectivity for AI: Tanmai Gopal

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 158.32

• Source frame: slide-002.jpg
• Crop: full [0, 0, 960, 540] score 164.22

• Source frame: slide-003.jpg
• Crop: full [0, 0, 960, 540] score 161.14

• Source frame: slide-004.jpg
• Crop: full [0, 0, 960, 540] score 175.51

• Source frame: slide-005.jpg
• Crop: full [0, 0, 960, 540] score 156.39

• Source frame: slide-006.jpg
• Crop: full [0, 0, 960, 540] score 156.81

• Source frame: slide-007.jpg
• Crop: full [0, 0, 960, 540] score 159.59

• Source frame: slide-008.jpg
• Crop: full [0, 0, 960, 540] score 161.1

• Source frame: slide-009.jpg
• Crop: full [0, 0, 960, 540] score 153.9

• Source frame: slide-010.jpg
• Crop: full [0, 0, 960, 540] score 156.68

• Source frame: slide-011.jpg
• Crop: full [0, 0, 960, 540] score 157.2

• Source frame: slide-012.jpg
• Crop: full [0, 0, 960, 540] score 156.82

• Source frame: slide-013.jpg
• Crop: full [0, 0, 960, 540] score 158.27