This is the second part of a final project for the freshmen course "Introduction to Computing"(Honor Track). The project mainly focused on image processing using OpenCV.
Specifically, SpeechDivider suggests the division of a long video(record of a class or presentation) based on the contents on the screen. Ideally, it would divide a presentation into small videos of every slides.
- Extract the screen position as ROI using Canny edge detector
- Then computes the similarity between neighboring ROI
- Several methods are applied to improve robustness
- Computing similarity using HSV distance/SIFT/perceptual hashing algorithm
- Using dHash as similarity function performs best
- Suggest division when the similarity is below threshold
A typical frame of the video:
Extracted ROI
