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Highlights Generation in Cricket #88
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Can also look at this: https://github.com/immuno121/Automatic-highlight-generation-from-Sports-Videos |
I would like to take this up |
The model in the link you provided does not incorporate audio information so might not be the best suitable approach. I found a paper which suggests the use of semantic concept mining and incrporates both audio and visual data: sci-hub.tw/10.1007/s11042-009-0337-1 Can you take a look at this and see if we can use this |
Yeah we can definitely use that imo, looks like really good work. However implementing the network might be difficult if we start from that. I think we should first build something simple, like in this article https://www.analyticsvidhya.com/blog/2019/09/guide-automatic-highlight-generation-python-without-machine-learning/, and then slowly improve it to the network in the paper. Once we have something of a base which works, imo it will be easier for us to improve on it later on. |
Ya makes sense. I'll start implementing what's given in the link |
I have implemented this. Should I open a PR if this approach is going to be incorporated in the library? |
Yes put up a PR |
Is there any need for enhancement right now or can the issue be closed? |
I think let's keep it open for now. We are aiming to add the enhancements ultimately after all. |
@Rijul1999 Basic implementation is done. Check on additional work in this |
A good starting point would be to use the intensity (pitch / something else) of audio from commentary to filter out "exciting events" and compile the clips from those events to generate highlight.
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