Deep Explorer
Improving video recommendations
How do I create better suggestions based on viewing behavior without a comprehensive user profile?
use case: equality and diversity insights
The challenge
Studies indicate that there still is a big gap between male and female characters across media content. For decades, nearly three-quarters of speaking parts in different TV shows have been performed by men. But how can you be ahead of the numbers and produce much more inclusive content?
the solution
With the Deep Media Analyzer, measuring diversity in content has never been easier. Our feature displays the number of women and men in your current content, how often they are seen, and how their share of speech is distributed. Furthermore, our AI uses machine learning to estimate the age of the displayed individuals. The system can be used on-premise or in the cloud. If it is to be part of a workflow, integration is required. MAM systems such as Vidispine come with a ready-to-use integration, but via our RESTful API it can be easily integrated in any other system.
Using the diversity reports you get after the analysis, you can keep track of your current diversity status to create more diverse content in the future.
What results can be obtained?
Automated diversity analysis of large volume of video content
Quantitative recording of diversity as proof and control mechanism
Standardized reporting with automated data export
faster data acquisition
COST REDUCTION
faster labelling
Equality and diversity insights
Offers the possibility to determine the percentage of gender and age occurrence in images or videos. Make sure your content has a desired ratio of male to female and age ranges.
Contact us
Enter your email below and we will get back to you as soon as possible.
Related use cases
How do I create better suggestions based on viewing behavior without a comprehensive user profile?
How can I recognize people and objects more quickly and establish references between them?
How can I efficiently find what I’m really looking for in my visual media material?
Free brochure
Request our FREE brochure to learn more about diversity and how DeepVA can assist you in creating more inclusive content.
Don’t worry, we reserve our newsletter for important news, so we only send a few updates once in a while.
Designed and engineered in Germany.
Aiconix GmbH
Wannerstraße 19
79106 Freiburg
Germany
The project has indirectly received funding from the European Commission’s Horizon 2020 Framework Programme through the STADIEM project (Grant Agreement 957321)
don't miss the latest news!
Don’t worry, we reserve our newsletter for important news, so we only send a few updates once in a while. No spam!
