Request Your Free Blog Now:

"An introduction to IDOL Rich Media Analytics"

It is intended for anyone who wants to learn more about what IDOL can do to help get the most out of their data.

In recent years, video, images, and audio have become increasingly important in modern communications, with better connectivity allowing more people to download more content in more places. From the dawn of photography, with its expensive, specialist equipment, to the modern day where anyone with a smartphone can record and post a video to the whole world in an instant, it is a form that has grown and expanded massively.

It is also a form that computers have historically had particular trouble getting to grips with. As humans, most of us take for granted the ease with which we identify an object or face in a scene, or pick out individual words in audio, but we have millions of years of evolution, and years of personal training on our side. Recreating even a fraction of this human capability in software is an enormous challenge, which continues to be met in new and creative ways, from identifying basic features and colours to increasingly sophisticated artificial neural network techniques.

Obviously, as use of rich media increases, the need for companies to be able to automate various tasks with their media also increases. From wanting to know how often a particular advert is shown, to keeping a city-wide transport system running smoothly, computers have the power to provide a huge amount of value, if they can be trained to process media in appropriate ways.

IDOL Rich Media has a wide array of processing tools for image, video, and audio, to provide this value.

Offered Free by: OpenText
See All Resources from: OpenText