Page 42 - The EDIT | Q3 2017

42
Discovery
Most are overwhelmed with the vast amount of data available, especially when we consider that 90%
of the data we had in 2016 was created in only two years before that.
The Cambrian Explosion... of Data
[Todd Park]
Computer vision has applications far beyond that of image search engines, of course. The burgeoning autonomous driving industry leans heavily on computer vision technology, given that cars must be able to recognize and understand objects in the environment they are in.
In order to achieve human levels of understanding pictures and objects in videos, we need to fall back on AI — especially with the growing number of imagery content being uploaded and shared every day. Not just from consumers themselves, but also from brands.
Soon, we will see an intelligence layer of data across all video content (leveraging machine visioning) that will enable consumers to know about any object, place, and yes, brand. Social plug-ins will enable purchases – and video will emerge as a new retail channel.
“Data by itself is useless. Data is only useful if you apply it.”
Structured Data
Unstructured Data
Machine Vision is changing the game
We humans use our eyes and our brains to see and visually sense the world around us. Computer vision is the science that aims to give a similar, if not better, capability to a machine or computer.
Computer vision is concerned with the automatic extraction, analysis and understanding of useful information from a single image, a sequence of images — or ultimately videos. It involves the development of a theoretical and algorithmic basis to achieve automatic visual understanding.
The applications of machine (computer) vision technologies are vast and undeniably exciting. However, creating machine vision applications requires massive datasets, thousands of images, and a lot of processing power. The precise processes needed in the creation of the many algorithms
used to teach computers to “see” vary, but all need accurate, rapid, and large training datasets.
So no, it is not an easy task — but its opportunities are worth it.
THE EDIT ISSUE 7 | Q3 2017