Discover the right media, quickly and easily – through cost effective metadata enhancement and semantic searching!
Complete fully automated indexing of content through AI/ML based services – video, image and audio.
Automation creation of subtitles, language detection, violence detection and more – easily configured within the Cubix Taskflow engine allowing it to be tailored to suit your specific workflow needs
Semantic searching logically groups content together based on what the user is looking for – further reducing search times and increasing user efficiency
Intelligently orchestrates multiple AI/ML services to ensure the highest quality of metadata for the lowest cost
Wide range of applications and use cases – ranging from enhancing legacy archives to automating dealing with high volumes of user generated content
All metadata available both via UI and API for ease of access and integration
As the volume of media sources increases, the challenge
facing owners is to know what content they have and where.
Whether the content be user generated, or simply drives of
rushes, all "unstructured data" remains inaccessible to the
business and a slow, painful process to locate when needed.
Artificial Intelligence (AI) and Machine Learning (ML) services
in the cloud are becoming significant business capabilities,
providing a wide range of features such as speech to text, level
detection and automatic content moderation (to detect violence and
nudity). The challenge is to integrate all these services into the
same media repository that houses the content, allowing for the
existing metadata to be enriched and for users to perform semantic-based
searches across combined media and metadata.
It is important to integrate these functionalities in a cost-effective
manner, thereby removing the historic concerns of ‘time and budget’ as
reasons for business not to proceed.
Most DAMs which offer cloud integrations make use of the standard "video"
based APIs from providers like Amazon and Microsoft, however the opex
costs for running these services can be significant and prohibitive.
Furthermore, the value of such metadata is diminished unless it is
returned in a contextual way. The Content Discovery engine within Cubix
is different because it has been designed with an understanding of the
primary challenges faced by media companies such as broadcasters and
post production facilities and therefore, can solve them.
Building on its tradition of integration,
Cubix supports a wide range of AI and ML
based public cloud environments and uses
its Orchestration engine to request only
those indexing services required for the
content. These "in flight" decisions are
based on reviewing the results of previous
AI / ML calls which, then combined with
configured business rules, allow for more
focused and more detailed indexing to occur.
Another key feature of the Content Discovery
engine is that it does not need to send whole
chunks of video into the cloud. Instead, Cubix
will automatically extract full frame still
images from content (e.g. once every second)
and submit those to the cloud using image APIs
rather than video APIs. There are two benefits
to this approach: firstly, it’s more cost
effective, secondly and more importantly, image
APIs are a lot "richer" in features to their
corresponding video APIs. Cubix automatically
combines the resulting metadata back into the
asset, understanding where objects appear and
disappear within the timeline, and provides a
rich contextual experience at a fraction of the
cost of using the standard video APIs
By combing speech to text with label detection,
as well as existing ancillary files such as
subtitles, still images and PDFs, etc., Cubix
provides smart and contextual content recommendations
that matches the current search. Results are weighted
based on relevance, and these results can easily be
exported for use within edit environments and more.