Dense Slides: From Text to Vision to Voice Exploring Multimodality with Open AI: Romain Huet

Source Video

From Text to Vision to Voice Exploring Multimodality with Open AI: Romain Huet

Method

This deck is slide-only. The existing captured video frame set supplies candidate frames, then local OpenCV rejects sponsor/title/speaker-only frames, crops visible slide surfaces, deduplicates, and saves the cropped slide images.

Cropped Visible Slides

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.89
Text source: agent_vision.

Slide text:

Hello GPT-4o

Hidden Non-Slide Evidence

`slide-002.jpg` — demo_video confidence 0.16; Embedded speaker video dominates the frame; no clearly readable presentation slide content.
`slide-003.jpg` — demo_video confidence 0.14; Stage/demo footage with embedded video and sponsor branding; not a readable slide.

Classification audit: raw/sources/slide-ai-classification/dense/yJHw33cVeHo/audit.json