Using AI & Movie Trailers to Predict Audience
Subscribe:  iCal  |  Google Calendar
Kyiv UA   22, Sep — 23, Sep
Valletta MT   23, Sep — 29, Sep
24, Sep — 27, Sep
Tokyo JP   25, Sep — 27, Sep
San Diego US   27, Sep — 30, Sep
Latest comments
by north shore taxis auckland
10 hours ago

You can also book a car to south Auckland airport when travelling home or to your next destination.

Excellent overview of unreal Ray-Tracing stuff, thank you! Any chance you can add the scene to the asset pack?

So what's exactly the advantage? good would be a direct comparison to known renderers

Using AI & Movie Trailers to Predict Audience
26 July, 2018

NVIDIA has shared a nice article that shows the way 20th Century Fox uses deep learning to predict a film’s audience from trailers. The system is said to be trained on historical movie attendance records to “find non-trivial associations between the video trailer features, and future audiences choices after the movie releases in theatres or on streaming services”. The whole analysis focuses on extracting features like “color, illumination, faces, objects, and landscapes” to predict accurate attendance for existing movies, and the team plans to use for future movies.

“Video trailers are the single most critical element of the marketing campaigns for new films,” the Fox researchers stated in their paper. “They increase awareness among the general moviegoer population, communicate the plot of the movie, present the main characters, and reveal important hints about the story, the tone, and the cinematographic choices.”

Using NVIDIA Tesla P100 GPUs on the Google Cloud, with the cuDNN-accelerated TensorFlow deep learning framework, the researchers trained their convolutional neural network on hundreds of movie trailers released over the last years, as well as millions of attendance records.

For inference, the team uses the same GPUs used during training.

“By finding a suitable representation of these features, and by feeding them to a model that has access to historical movie attendance records, it is possible to find non-trivial associations between the video trailer features, and future audiences choices after the movie releases in theaters or on streaming services,” the researchers stated.

The neural network has the potential to assist movie producers and executives make real-world decisions at different stages of a marketing campaign, the researchers said.


You can learn more here or read the full paper here


Leave a Reply

1 Comment threads
0 Thread replies
Most reacted comment
Hottest comment thread
1 Comment authors
leweisi Recent comment authors

This is a great technology for film makers like. Thanks.

Related articles