Video AI (artificial intelligence) has the capacity to solve a number of time-consuming, video- related problems with automation. But that
doesn’t mean it has magical powers that will exclude
human control. To offer a sense of where video AI is
in early 2018, what follows are a number of real-life
examples in which AI is helping to add structure to
the unstructured world of video.
First, what is AI? The difference between an AI system
and standard algorithms is AI uses data to learn, predict, and alter an outcome based on learning through
data processing. It all starts with having access to a
large source of data, whether an archive of images for
image recognition or QoS playback records. A software
algorithm is designed to solve a particular problem, and
training data is used to enable the software to learn and
recognize a match.
In video, AI can solve a number of problems, including figuring out where specific content is, automatically generating clips, making sure both content and
advertisement more closely align with viewer interests, and ensuring that video playback is optimized.
To enable video image recognition, content is scanned
to create an enhanced metadata file. The contents of
the metadata can vary, from image and text recognition
that can identify all imagery within a clip to creating a
full-text audio transcription that uses natural-language
processing to identify all audio contents of a video clip.
that can be used to search against or organize content
in any supported online video platform, content management system, or media asset management system.
and AI 2018
The machines aren’t taking over;
they’re just helping video publishers
achieve their goals more efficiently and effectively.
By Nadine Krefetz