The Conference for Machine Learning Innovation

Machine Learning for automatic summarization of sport videos

Keynote
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Register until September 23:
✓ PS Classic or C64 Mini for free
✓ Save up to €310
10 % Team Discount
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Join the ML Revolution!
Register until the conference starts:
✓ 2-in-1 conference special
✓ 10 % Team Discount
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Register until the conference starts:
✓ 2-in-1 conference special
✓ 10 % Team Discount
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Automatically extracting key events from sports videos is extremely useful for teams, coaches, fans, and anybody who only wants to watch the highlights of a match. In our work, we propose a solution to automate the detection of key events in GAA hurling matches. In particular, our solution focuses on the detection of the four important events in the sport: puckouts, kickouts, scores, and wides. Due to both the wide variety of detectable events and the scarce availability of training data, we did not use common techniques for video classification & detection tasks (i.e. LSTM, 3D-CNNs). Instead, we designed handcrafted features capable of capturing discriminative information using alternative techniques (i.e. optical flow, people detection & tracking). We then fused these features together in order to predict the probability that a specific frame relates to a specific target event.

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