4 ms·
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
by dfsegoat 10y ago
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.
[0] - http://www.hudl.com/elite/sportscode http://www.hudl.com/elite/sportscode
- rightsForRobots 10y agoGood point. The project mentions this work which did experiments on sports: http://cs.stanford.edu/people/karpathy/deepvideo/ http://cs.stanford.edu/people/karpathy/deepvideo/
- ytjohn 10y agoI remember seeing a few years ago when Carnegie Mellon ran the entire series of Star Trek through facial recognition. They were able to tag every instance of each character on screen. http://gizmodo.com/5228470/carnegie-mellon-demos-the-power-of-facial-recognition-using-star-trek-tos http://gizmodo.com/5228470/carnegie-mellon-demos-the-power-o...