I have often wondered how purveyors of this "type of content" might be using machine learning (classification etc). I think this project gives us a good hint of that.
I would also echo the sentiment of others in this post: This could be used for a lot of other things. An example that comes to mind: The auto-tagging / classification of athletic or sports footage. Athletic organizations spend A TON of money[0] on annotating / tagging team sports related video for things like statistics, aggregating individual players performance within a match, etc.
I would also echo the sentiment of others in this post: This could be used for a lot of other things. An example that comes to mind: The auto-tagging / classification of athletic or sports footage. Athletic organizations spend A TON of money[0] on annotating / tagging team sports related video for things like statistics, aggregating individual players performance within a match, etc.
[0] - http://www.hudl.com/elite/sportscode