Back to using facial expression detection and coding. Not new, Something we also experimented with, in lab settings, but here with new data science doing the analysis. Some details in Phys.org.
Disney Uses Neural Net Technology to see if you Love its Movies like you Should By Mark Coppock
Disney really wants to know if you like its movies. The entertainment company conducts copious research to answer that question, and in fact, it has its own division, Disney Research, that’s focused on figuring out ways to make you love its movies even more. Now, the company is applying neural net technology to determining if audiences are reacting as they should to Disney’s latest films.
The information comes via Phys.org, https://phys.org/news/2017-07-neural-nets-audience-reactions-movies.html which took a look at some recent work by Disney Research to apply deep learning concepts to figure out how audiences are reacting based on their facial expressions. So far, the methods are having better results than the organization’s usual techniques.
Researchers are using what they’re calling “factorized variational autoencoders,” or FVAEs, to use an audience member’s early facial expressions to predict how that person will react to a movie in its entirety. The data was gathered by using infrared cameras that monitored audience faces during 150 showings of a total of nine movies including Big Hero 6, The Jungle Book, and Star Wars: The Force Awakens. ....
(Update) Discussion in Fast CoDesign. Disney Movies Could be Watching you. ...
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