Reconstructed Slides: Building Conversational Agents โ Thor Schaeff and Philipp Schmid, Google DeepMind
Source Video
Building Conversational Agents โ Thor Schaeff and Philipp Schmid, Google DeepMind
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]score157.81

- Source frame:
slide-002.jpg - Crop:
full[0, 0, 960, 540]score176.53

- Source frame:
slide-003.jpg - Crop:
contour[0, 0, 960, 540]score176.41

- Source frame:
slide-004.jpg - Crop:
full[0, 0, 960, 540]score153.41

- Source frame:
slide-005.jpg - Crop:
full[0, 0, 960, 540]score175.97

- Source frame:
slide-006.jpg - Crop:
contour[0, 0, 960, 540]score176.58

- Source frame:
slide-007.jpg - Crop:
full[0, 0, 960, 540]score176.05

- Source frame:
slide-008.jpg - Crop:
full[0, 0, 960, 540]score176.82

- Source frame:
slide-009.jpg - Crop:
full[0, 0, 960, 540]score176.56

- Source frame:
slide-010.jpg - Crop:
full[0, 0, 960, 540]score176.52

- Source frame:
slide-011.jpg - Crop:
full[0, 0, 960, 540]score156.58

- Source frame:
slide-012.jpg - Crop:
full[0, 0, 960, 540]score153.21

- Source frame:
slide-013.jpg - Crop:
contour[0, 0, 960, 540]score174.11

- Source frame:
slide-014.jpg - Crop:
full[0, 0, 960, 540]score155.31

- Source frame:
slide-015.jpg - Crop:
full[0, 0, 960, 540]score178.0

- Source frame:
slide-016.jpg - Crop:
contour[0, 0, 960, 540]score176.66

- Source frame:
slide-017.jpg - Crop:
contour[0, 0, 960, 540]score175.63

- Source frame:
slide-018.jpg - Crop:
full[0, 0, 960, 540]score163.29

- Source frame:
slide-019.jpg - Crop:
contour[0, 0, 960, 540]score175.68

- Source frame:
slide-022.jpg - Crop:
full[0, 0, 960, 540]score157.43

- Source frame:
slide-023.jpg - Crop:
full[0, 0, 960, 540]score179.61

- Source frame:
slide-024.jpg - Crop:
full[0, 0, 960, 540]score177.3