Honing the use of AI and Machine Learning continues apace. Streaming services are particularly ripe areas for AI, but the winners will be those that have managed to differentiate themselves and innovate in their use of it.
Artificial Intelligence (AI) and Machine Learning (ML) are related technologies which deal with replicating ‘human’ ways of recognising patterns and seeking patterns in large data sets to help deal with similar data in the future. It does this without using traditional methods like using a ‘database’. For the consumer, it doesn’t actually matter whether they’re benefitting from AI or ML, they’re simply looking for better recommendations, wanting better search and accurate subtitles (captions) on all their videos. If these happened because of humans behind the scenes, it would all be the same. But for the streaming provider, everything has a cost, and there just isn’t the ability to afford people to do these tasks plus, in some cases, humans simply couldn’t do the job. This is why AI is here to stay.
Date: Thursday 8th August, 16:00 BST / 11am EDT
In this webinar from IBC365, Media Distillery, Liberty Global and Grey Media come together to discuss the benefits of extracting images, metadata and other context from video, analysis of videos for contextual advertising, content-based search & recommendations and ways to maintain younger viewers.
AI will be here to stay touching the whole breadth of our lives, not just in broadcast. So it’s worth learning how it can be best used to produce television, for streaming and in your business.
Sports broadcasting has always been on the forefront of technology both by developing products specifically for the sporting market such as sports graphics, annotation and ball tracking and also by pressing nearly any new technology that comes along into production.
The result of this relentless thirst for technology is year-by-year better and better productions done in more innovative and often lower-cost ways.
Remote production has long been a buzz word in sports broadcasting which has taken a long time to take hold (known as REMIs in North America). This is partly because the technologies needed to do it really well and really seamlessly are only just becoming dominant and partly because sports workflows from a technology and a business needs perspective are so different from company to company that one remote production.
However there are ever stronger pushes into remote production which very much brings remote production into day-to-day use in many companies. Kiswe Mobile joins us on this webinar to explain their experience in enabling remote production.
AI is looked on as an important tool in sports broadcasting. With so much data, both visual and textual, AI will increasingly be an excellent tool to parse and interpret these large data sets. Whether this is simply to produce better stats analytics or to comb through the thousands of hours of footage looking for, and logging, interesting events between players, ball possession stats etc.
IBC brings in Jérôme Wauthoz from Tedial and production consultant Mike Ruddell to bring us their experience making the sports on our screens as great as it can be at a cost that broadcasters can afford.
This on-demand webinar brings together Nighel Walley from Decipher, Paul Gagnon from IHS Markt, to talk all things CES with David Mercer from Strategy Analytics and Justin Lebbon from Mediatel events.
CES is used as a barometer of things to come and things that are on the way out and has a strong link into parts of the broadcast industry. At the end of the day, people change and technology changes; whatever your company, if you don’t change to suit, then you’ll be out of business.
So what’s hot and what’s off the boil this year? Find out as they cover 5G, 4K, AI, Screen tech and much more.
Real-world examples of using Machine Learning to detect faces in archives is discussed here by Andrew Brown and Ernesto Goto from The University of Oxford. Working with the British Film Institute (BFI) and BBC News, they show the value of facial recognition and metadata comparisons.
Andrew Brown was given the cast lists of thousands of films and shows how they managed to not only discover errors and forgotten cast members, but also develop a searchable interface to find all instances of an actor.
Ernesto Goto shows the searchable BBC News archives interface he developed which used google images results of a famous person to find all the ocurrences in over 10,000 hours of video and jump straight to that point in the video.
A great video from the No Time To Wait 3 conference which looked at all aspects of archives for preservation.