In Broadcast - December 2020 - 22

22

www.inbroadcast.com | Vol: 10 - Issue 12 | InReview 2020

InReply

Digital Nirvana Forever Evolving
InBroadcast discusses the latest on-going developments with
Hiren Hindocha and Russell Wise at Digital Nirvana...
InBroadcast: Can you give us
a brief overview of what Digital
Nirvana has been up to?
Hiren: Of course. As you know,
Digital Nirvana came to the media
and entertainment industry with
speech recognition. When we saw
speech recognition move from a
specific domain to a general purpose
domain and how it could be applied
for the broadcast and M&E industries,
we rolled out a closed-captioning
product in the cloud, our Trance
solution, which uses automatic speech
recognition with a very high degree of
accuracy. On top of that we added the
ability to do automatic translation into
multiple languages.
Russell: That's right. Our strategy
is to make our MediaServicesIQ
portal the focal point for all the
other products. For example, we're
incorporating a number of video
intelligence capabilities. The portal
can detect logos, do facial recognition,
and now we're evolving it even
more. We can take all of this video
intelligence and create services
such as content classification or ad
classification.

InB: Can you explain the benefits
to your users?
Hiren: Of course. One prominent
problem is that broadcasters can
ingest a lot of ads but need to
categorize them as restricted and
unrestricted ads. It's a manual process
that requires operators to go in and
make decisions about what category
applies to an ad. For example, is the
ad OK to be played on a children's
program? Normally, somebody has
to physically watch the ad to make
those decisions. Our system allows
broadcasters to extract that
information automatically using
AI and ML, allowing them to
save a lot of time and a lot of
money by avoiding misruns,
FCC fines, etc.
Russell:
Yes,
it's
a
huge step forward in
automatic classification of
advertisements, especially
now that everything is
moving
toward
video
Hiren Hindocha,
Co-Founder,
President and CEO

advertisements. Being able to ingest
a video ad and automatically identify
what it's about is a huge benefit.
InB: What challenges were you
addressing when designing /
launching the product?
Hiren: Several. One was competitive
analysis. The backbone of all our
AI and ML is the MediaServicesIQ
portal, the set of microservices
we've rolled out that includes video
intelligence,
speech
recognition,
and a whole lot of services on top
of that. Within MonitorIQ, our
flagship product for compliance
logging, we've introduced the
ability to automatically detect
advertisements.
MonitorIQ
is used by TV stations and
networks for compliance
recording, but it is also
being used for competitive
monitoring. A local TV station
can find out what ads are
playing on its competitors'
Russell Wise,
Senior Vice President,
Sales and Marketing

channels using a combination of AI
and ML within our technology. Users
can generate an ad-spending report
that says, " OK, this company spent X
amount of dollars on the competing
channel and Y amount of dollars on
yours. "
Russell: We were also addressing
the need for automatic generation of
metadata. Typically, you might have
five to 10 hours of footage residing in
Avid or Adobe that has to be edited
into a one-hour show. Instead of going
to an Avid interface and entering
metadata about what this content is
about, you can interface directly with
Avid to create a rich metadata report
and integrate it back into the Avid
infrastructure. It's much, much faster.
InB:
Any
future
product
innovations ahead that you can
discuss?
Hiren: We are working to add new
capabilities and accuracy to our
speech-to-text performance. We're
really excited about the gains we've
made in this space. We're in the
internal stage but are seeing good
results, and we expect to make rapid
strides and be able to roll it out along
with a live captioning engine.
Russell: We are seeing more and
more very compelling applications
in media and entertainment that can
use the AI and ML capabilities in our
products. This spans the entire media
creation chain, and it seems there is a
new use case every day. We're looking
forward to seeing what the future
brings.


http://www.inbroadcast.com https://digital-nirvana.com/mediaservicesiq/ https://digital-nirvana.com/mediaservicesiq/ https://digital-nirvana.com/mediaservicesiq/ https://digital-nirvana.com/mediaservicesiq/ https://digital-nirvana.com/mediaservicesiq/ https://digital-nirvana.com/mediaservicesiq/

In Broadcast - December 2020

Table of Contents for the Digital Edition of In Broadcast - December 2020

Contents
In Broadcast - December 2020 - Intro
In Broadcast - December 2020 - Cover1
In Broadcast - December 2020 - Cover2
In Broadcast - December 2020 - Contents
In Broadcast - December 2020 - 4
In Broadcast - December 2020 - 5
In Broadcast - December 2020 - 6
In Broadcast - December 2020 - 7
In Broadcast - December 2020 - 8
In Broadcast - December 2020 - 9
In Broadcast - December 2020 - 10
In Broadcast - December 2020 - 11
In Broadcast - December 2020 - 12
In Broadcast - December 2020 - 13
In Broadcast - December 2020 - 14
In Broadcast - December 2020 - 15
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In Broadcast - December 2020 - 30
In Broadcast - December 2020 - 31
In Broadcast - December 2020 - 32
In Broadcast - December 2020 - 33
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In Broadcast - December 2020 - Cover3
In Broadcast - December 2020 - Cover4
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