Machine learning is an advanced technology that now has been used for developments of so many fields and industries. Aside from website and app building, some businesses have successfully implemented this technology to improve the quality of their products and services, one of them is Prime Video.
Prime Video uses machine learning in order to improve the quality of its streaming service. The result can be felt directly by the audience at home as they can enjoy better quality imagery. It’s a unique approach to utilizing technological advancements to make the user experience much better.
In this article, we’d like to briefly explain it, along with additional information on machine learning usage to support the streaming service industry.
Unlocking The Content with a VPN
Before explaining about the machine learning adaptation, we also want to include relevant information about the streaming services. Oftentimes, there are people who are still suffering from geo-blocking. Fortunately, you may securely watch your favorite Amazon Prime content abroad by using a VPN service. The task is very simple too, as you need to switch location to other servers. That way, you may freely enjoy a wide range of content you couldn’t find in your area.
Once the content is finally unlocked, you may now enjoy all the content presented by Prime Video. From now you, have a good time watching live streams supported by machine learning technology.
How Prime Video Uses Machine Learning Technology to Optimize Streaming
The problem with video streaming is that there’s a chance that some defects may start appearing, whether it’s on the audio, imagery, transmission, or other factors. Of course, streaming services should always focus on maintaining quality in the name of customer satisfaction.
While the manual content review could take a lot of time and present new problems, machine learning is used as a solution to ensure better quality streaming. And that’s what Prime Video did years ago when their Video Quality Analysis (VQA) team used the technology to identify possible defects.
From then on, Prime Video applied the same approach to thousands of channels on the platform. Therefore, it’s not surprising to find high-quality streaming when exploring Prime Video.
The VQA team trains the computed vision models to continuously watch the videos and find any possible defects or issues. That way, the team may treat the problems immediately, and offer the best quality stream for all customers.
Benefits of Using Machine Learning in Video Streaming Services
There are so many benefits and functions of machine learning in so many industries; even Grammarly uses machine learning. You can even its presence to something closest to you, like YouTube, for example.
You must have often streamed videos on the YouTube site. When you arrive on the first page of the site, the first thing you see is a row of video recommendations in the “Recommended” section. Often you can find several video titles and thumbnails that catch your attention; it feels as if YouTube knows exactly what to grab everyone’s attention.
Have you ever thought that someone is watching your habits?
Yes, there is. But don’t panic yet, this isn’t the work of a stalker. The one who is paying attention to your habits is none other than the program behind YouTube itself. We can call this the term “Machine Learning”.
Indeed, the meaning is not far from that word; Machine learning is a term used to describe the activity of a program or “machine” learning using the data provided to obtain the desired results as closely as possible.
Using the case above, the engine behind YouTube pays attention to what often attracts your attention; videos that you have watched before. Usually, when watching a video, you will see the “Up Next” section on the right side of the site page which displays a series of videos that are similar to the video you are currently watching.
At this time, the program behind YouTube is conducting a test on you. If you click on one of the videos in that row, YouTube will remember that decision and will use this data as a reference for your interests. This was implemented by YouTube to increase the number of users or consumers who visit and enjoy the content available on its site.
Of course, machine learning isn’t only useful on sites that provide video content. Machine learning can also be used in applications, online stores, blogs, even Google uses it.
As for the paid streaming services, machine learning technology may be beneficial in providing better quality thumbnails, content recommendations, and better streaming quality. All of these benefits will help users to have a great streaming experience that’s even better than before.
And, of course, machine learning is continuously developed. We can always expect something better from it in the future.
