An Algorithm Watching A Movie Trailer (2017)
A project, that tries to explore how an object detection algorithm
experiences a movie trailer.
Object detection is the process of identifying specific objects
such as persons, cars and chairs in digital images or video. For
most humans this task requires little effort regardless of how the
objects may vary in different sizes, scales and rotations or
whether they are partially obstructed from view. For long these
tasks have been difficult for computers to solve, but recent
developments have shown impressive improvements in accuracy and
speed, even while detecting multiple objects in the same image.
Process
We wondered what a fast paced movie trailer would look like seen
through the lens of an object detection algorithm. Therefore we
sent all individual frames from the movie trailer for The Wolf of
Wall Street are through Yolo-2 with a threshold of 0.15, meaning
that it only reacts to objects detected with a confidence of 15%
or higher.
Credits
- Made together with Andreas Refsgaard
- YOLO-2 Algorithm