FrameDNA Cover Image
Take a look at your computer desktop. If you’re anything like me, it’s probably cluttered with a bunch of folders, screenshots, and files you just haven’t had a chance to organize yet. It’s daunting to even think about going through and consolidating all of it. So it all just sits there, unnecessarily taking up storage space.
If you have a hand in post-production workflows, you know that this same problem exists with media libraries.
You’re dealing with hundreds of versions of the same file accumulated with each new delivery. Even for slight audio or timed text variances, an entirely new full-length file is created and stored. This issue is magnified with every new OTT service and international distribution point. It’s not just an issue of the intensive workflow process, but it also means a high level of redundancies amongst the different versions. The ramifications on time and cost are huge.  
What if I told you you could take multiple versions of your content, automatically identify just the differences between the tracks, eliminate storage and processing redundancies, and consolidate the necessary material into IMF packages with the push of a button?
OWNZONES FrameDNA enables you to do exactly that.

FrameDNA: Breaking New Grounds

FrameDNA is an artificial intelligence-driven feature focused on analyzing content and identifying similarities and redundancies. In tandem with the Interoperable Master Format (IMF), this new capability allows our clients to reduce the number of mezzanines and deliverables that need to be stored. This eliminates redundancies, frees up space, and makes sharing content to different platforms and distributors almost instantaneous.
How Does it Work?
There are two key technologies at work in FrameDNA. The first is driven by artificial intelligence.
FrameDNA works by fingerprinting every frame in the image track of a file upon ingest. It takes the files you ingest into OWNZONES Connect™, analyzes them frame-by-frame based on structural similarities, identifies the scenes that are different, and allows you to easily compare and extract the clips with the differences without having to manually scan through the entire file.
Because FrameDNA engages this workflow in a parallel processing and auto-scaling way, the whole process of scanning and identifying the clips takes minutes.
The second key technology at work in FrameDNA is our house speciality–IMF generation in the cloud.
Once FrameDNA enables you to identify your base source material (e.g. texted scenes), and all the clips that represent the deltas (e.g. textless scenes), it can then convert all of that into a base CPL that contains your original material as well as various supplemental CPLs that describe how to combine your original material and deltas together to get your different versions.

How Can I Apply FrameDNA to My Workflow?

Currently, the primary use case for FrameDNA is for comparing and consolidating texted versus textless versions of the same title.
You’ve got your base textless version of a title, and over time, you probably created English texted, Spanish texted, daytime, and uncensored equivalents–and the list goes on. The majority of all that content is the same–it’s just the parts that show in-video text that are different. Right now, that’s all just sitting dormant on your storage servers, running up your storage bills every month.
FrameDNA instantly consolidates all that content into just the base textless source material and all the texted clips, generating two CPL’s along the way for easy IMF creation of your texted and textless versions. It currently takes mere minutes to complete that workflow.
FrameDNA Screenshot

If you’ve got Petabytes of data that you’re storing and handling in the traditional way, FrameDNA can take that number and reduce it to Terabytes.

The immediate benefits to your bottom line are undeniable.



How Will FrameDNA Impact the Future of the M&E Industry?

FrameDNA has the power to turn 100,000 files in an on-prem system into 10,000 IMF packages stored in the cloud that can be easily and quickly converted into any format needed. It’s a tool that will stoke the flames of IMF adoption since no content library is too large or daunting–in fact, the more files you throw at it, the more time and money you end up saving.
FrameDNA Pull Quote
A potential use case goes a step further in automating the process of consolidation: Once FrameDNA has identified which are the same files or segments, it could leverage a pre-established algorithm with a specific logic and identify which differences constitute different CPL’s. Then, using AI, it could find the corresponding synched language or text assets, the system can remove the unnecessary parts, and finally automatically build all your versions in IMF format.
All of this just by looking at a file folder system and metadata.
Another potential use case in the works has to do with file quality: FrameDNA could identify the best quality frames out of multiple versions and extract the best ones, ensuring that each new version you create is the best quality that it can be.
Taking a step back to look at the bigger picture, FrameDNA will effectively change the Content Operator’s role in the end-to-end production workflow. It chews away at the manual processes that waste their time and talents so they can focus on making more creative decisions. In essence, it does what AI was built to do.

It’s what we’ve all been waiting for…

By automating the process of consolidating your content library into nimble IMF packages, FrameDNA empowers you to better monetize your content library and futureproof the efficient archival and delivery logistics of your content for years to come.

  • From a workflow perspective, FrameDNA takes a highly manual process and collapses it to the click of a button.
  • From an archival perspective, it takes those heavy flat files that sit in your storage location, taking up unnecessary space, and replaces them with lean, high quality IMF master packages.
  • From a distribution perspective, FrameDNA allows you to more easily deliver your library of content to several endpoints by lowering the barrier to entry of converting your content to IMF packages, which, until now, involved a large amount of upfront work.

FrameDNA isn’t just for companies with existing large libraries of content–in today’s M&E landscape, versioning is unavoidable, no matter what stage of the game you’re in. Every endpoint has its own requirements.
You need a tool that will make the end-to-end workflow of versioning for archival and delivery as streamlined as possible. FrameDNA in harmony with our cloud-based IMF workflow, is that tool.
Say goodbye to a cluttered, redundant media library. Reach out today to find out how your business can consolidate and componentize your media library into Interoperable Master Format.