Only By Analyzing Trailer, Fox Studio’s AI Predict Movie Audience

When a movie get flop it not only break the heart of movie makers but also break the chasflow of the production house and studio. Sometime things get so worse, that production house faces bankruptcy.

Now the question arises, what we can do in order to avoid such failure ?

Researchers at Fox Film Studio has it’s answers. Fox Film Studio developed an AI system that can tell you whether a movie will be hit or flop. It is an algorithmic method capable to predict what kind of audience will go to see a movie. The cool part of this AI is that it do all this thing things just by analyzing movie trailer.

As we all know that trailers are very important for movie success. For us it is a short preview of any movie. It tell us about storyline and what actors are there in movie. As marketing point of view, trailers are the most important tool. It ultimately generate movie awareness.

So, if you’re trailers is working like a fire in audience, chances are your movie is next blockbuster.




Now, lets talk Fox Film Studio. Studio want to make trailers which must be love by audience. And as necessity is the source of invention, they built a machine learning method called Merlin Video.

Merlin Video method predicts what audiences will most likely watch a movies with the help of it’s trailer. It analysis the features of the trailer such as illumination, color, faces, objects, and landscapes. After analyzing all this feature Merlin generates a dense representations of a trailer.

With the help of attendance and demographic data Merlin accurately forecast the audience attendance for a movie. Merlin Video has a logistic regression layer that merges the distance-based Collaborative Filtering model to generate the probability of audience attendance.

Fox Film Studio

Researchers trained Merlin’s convolutional neural network over a hundreds of movie trailers released in past along with records, consist attendance counted for each movie. By feeding appropriate representations to the neural networks, it starts to discover significant links between the features of the movie trailer and future audience preferences.

Merlin Video method uses NVIDIA Tesla P100 GPUs on the Google Cloud, with the cuDNN-accelerated TensorFlow deep learning framework.

Merlin has shown pretty interesting results, but it is still in development stage. Merlin is not able capture temporal info.

The Fox Film Studio researchers are focusing on developing a system that uses both text and video features to predict a movie’s success.

Fox Film Studio work is published on ArXiv and was authored by Miguel Angel Campo-Rembado, SVP of Data Science & Analytics at Twentieth Century Fox Film Corp, and his team.

You can read the paper from here.

Have a great day, Enjoy !

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