What is video Intelligence — and why you need it?

By: Ancoris says
Tag(s): Data
Published: Feb 26, 2020
What is video Intelligence — and why you need it?

The rate at which we're creating, storing and needing to access data will grow by as much as 60% a year in the next five years, according to research by IDC, largely because of increased use of high-definition video and images. Many companies are spending a lot of time and effort trying to manage that content — and failing miserably.

Is your company one of them? If so, you’ve probably found yourself facing one or more of these issues:
  • The perfect snippet of video for your next social media campaign may already exist somewhere in your company, but you don't know where to find it, even if you're sure it's out there somewhere.
  • Marketing teams in different territories are each hiring photographers and videographers to shoot almost identical images and video, driving up the cost and time involved.
  • When you try to re-use video shot in one country in a global campaign, it takes a lot of time, effort and money to localise and add subtitles for all the different countries where it will run.
  • You have a fantastic archive of video and images but you're struggling to monetise it because the time and labour involved in finding content that matches client requests means you can’t make it profitable.

Why does this happen? Firstly, you often don't know what content already exists in your organisation or where it's stored. It might be on file servers, in the cloud or on local hard disks and laptops.

Second, your content isn't consistently tagged, categorised or indexed. Some content may not be tagged at all, especially older content that was digitised from film. So your searches don’t always turn up all the relevant content you hold or you waste time looking through a lot of irrelevant content to find what you need.

Google’s Video AI and Vision AI solutions automatically analyse every frame of your video content and image libraries and extract metadata allowing you to easily manage, search and exploit your media content.

For example, using Video AI, a media production company could locate specific scenes in its archive of filmed productions and cast interviews. As well as helping the company create marketing campaigns for future productions, this would allow the company to reduce its costs when monetising its archive by selling content to broadcasters and TV production companies.

Meanwhile, a high-end sports clothing retailer might want to make better use of the wide range of photography created by each of its regional operations. With Vision AI, the company could identify what media files it currently holds, no matter which region created them, and where they’re stored, letting it easily find content relating to particular events, athletes or products. All of this reduces the time, effort and cost of delivering global marketing and social media campaigns.

Working with a Google Cloud Platform Premier Partner

As a leading Google Cloud Service Partner, we have considerable experience with Google Cloud Platform, both assisting clients to future proof their business with cloud infrastructure.

Cloud adoption is not just about agility and cost optimisation — it’s about building the very foundations you need to continuously innovate and stay ahead. A cloud-first architecture using Google Cloud Platform not only modernises your infrastructure but unlocks a whole new world of digital freedom and opportunity.

Our onboarding methodology will help you realise value in weeks, not months so you can save costs and increase agility.

If you’d like to find out more about how we can help you, why not take a look at some of our customer success stories or talk to the experts in our Google Cloud Platform team.

4 reasons to use the cloud to store digital media assets

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