Inspiration

Easy to learn from videos

What it does

It provides a summary of the content of a video and also generates a shorter version of it by cropping it, depending upon some frames which are chosen according to the scene detection algorithm.

How I built it

We used Python, Django, opencv and machine learning and NLP

Challenges I ran into

Summarisation of text and cropping every frame according to the importance

Accomplishments that I'm proud of

Successfully summarising the videos content and dividing it into frame for further processing

What I learned

We have learned to worked with ffmpeg and various summarisation techniques and pros and cons of each of them

What's next for Notes++

Making it faster as ffmpeg is a bit slow when used with python.

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