---
title: "Reconstructed Slides: Connecting the Dots with Context Graphs — Stephen Chin, Neo4j"
category: "slides"
video_id: "eW_vxrjvERk"
sourceLabels: ["Cropped public YouTube video frames", "Local OpenCV slide-region detection", "Local RapidOCR"]
---

# Reconstructed Slides: Connecting the Dots with Context Graphs — Stephen Chin, Neo4j

## Source Video
[Connecting the Dots with Context Graphs — Stephen Chin, Neo4j](https://www.youtube.com/watch?v=eW_vxrjvERk)

## 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
![[assets/reconstructed-slides/eW_vxrjvERk/slide-001.jpg]]

- Source frame: `slide-001.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `157.79`
![[assets/reconstructed-slides/eW_vxrjvERk/slide-002.jpg]]

- Source frame: `slide-002.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `159.72`
![[assets/reconstructed-slides/eW_vxrjvERk/slide-003.jpg]]

- Source frame: `slide-003.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `161.13`
![[assets/reconstructed-slides/eW_vxrjvERk/slide-004.jpg]]

- Source frame: `slide-004.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.2`
![[assets/reconstructed-slides/eW_vxrjvERk/slide-005.jpg]]

- Source frame: `slide-005.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.54`
![[assets/reconstructed-slides/eW_vxrjvERk/slide-006.jpg]]

- Source frame: `slide-006.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `161.83`
![[assets/reconstructed-slides/eW_vxrjvERk/slide-007.jpg]]

- Source frame: `slide-007.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `163.42`
![[assets/reconstructed-slides/eW_vxrjvERk/slide-008.jpg]]

- Source frame: `slide-008.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `161.04`
![[assets/reconstructed-slides/eW_vxrjvERk/slide-009.jpg]]

- Source frame: `slide-009.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `161.5`
![[assets/reconstructed-slides/eW_vxrjvERk/slide-010.jpg]]

- Source frame: `slide-010.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `161.54`
![[assets/reconstructed-slides/eW_vxrjvERk/slide-011.jpg]]

- Source frame: `slide-011.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `159.86`
![[assets/reconstructed-slides/eW_vxrjvERk/slide-012.jpg]]

- Source frame: `slide-012.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.52`
![[assets/reconstructed-slides/eW_vxrjvERk/slide-013.jpg]]

- Source frame: `slide-013.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `162.3`
![[assets/reconstructed-slides/eW_vxrjvERk/slide-014.jpg]]

- Source frame: `slide-014.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `159.23`
![[assets/reconstructed-slides/eW_vxrjvERk/slide-015.jpg]]

- Source frame: `slide-015.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `162.05`
![[assets/reconstructed-slides/eW_vxrjvERk/slide-016.jpg]]

- Source frame: `slide-016.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `162.53`
![[assets/reconstructed-slides/eW_vxrjvERk/slide-017.jpg]]

- Source frame: `slide-017.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `176.68`
![[assets/reconstructed-slides/eW_vxrjvERk/slide-018.jpg]]

- Source frame: `slide-018.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.52`
![[assets/reconstructed-slides/eW_vxrjvERk/slide-019.jpg]]

- Source frame: `slide-019.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `162.32`
![[assets/reconstructed-slides/eW_vxrjvERk/slide-020.jpg]]

- Source frame: `slide-020.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.2`
![[assets/reconstructed-slides/eW_vxrjvERk/slide-021.jpg]]

- Source frame: `slide-021.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.58`
![[assets/reconstructed-slides/eW_vxrjvERk/slide-022.jpg]]

- Source frame: `slide-022.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `162.15`
![[assets/reconstructed-slides/eW_vxrjvERk/slide-023.jpg]]

- Source frame: `slide-023.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `161.26`
## Dense Scene-Detected Slide Candidates
- [[youtube-eW_vxrjvERk-dense-slides]]