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Editshare - Enhancing EditShare’s flow media asset management with Automated AI
Nomad

Editshare - Enhancing EditShare’s flow media asset management with Automated AI

Features

Optimize content discovery for DAM platforms

February 16, 2023
February 17, 2022
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2
min
Introduction
Improve content discovery while reducing the time to create new revenue streams

As the volume of digital assets increases, the pressure to improve content retrieval and workflow efficiency is greater than ever.

With more precise and consistent tagging, you can increase the relevancy of photos retrieved by client searches. Choose an AI solution that generates rich metadata for your visual data and integrates seamlessly with your DAM platform so that you can deliver the best campaigns.

Superhuman Vision does this at scale so that you can
- Sort and tag visuals with over 10,000 objects, concepts, emotions, actions
- Automatically identify over 11,000 public figures and segment video frames accordingly.
- Maintain brand coherence by identifying visuals with similar aesthetics
- Categorize and search for content based on specific themes and styles
- Index content on-the-go without the need for a technical operator
- Get accurate visuals by simply typing the relevant keywords


Automatically analyze the actual content of your visual archives to drastically improve search results and content discovery.

Read our detailed article about how Superhuman Vision boosts commercialization.

Customer details
Solution
Benefits
Written by
Trisha Mandal
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Edited by
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Illustrated by
Xana Ramos

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Mobius Labs GmbH is receiving additional funding by the ProFIT program of the Investment Bank of Berlin. The goal of the ProFIT project “Superhuman Vision 2.0 for every application- no code, customizable, on- premise  AI solutions ” is to revolutionize the work with technical images. (f.e.) This project is co-financed by the European Fund for Regional Development (EFRE).

In the ProFIT project, we are exploring models that can recognize various objects and keywords in images and can also detect and segment these objects into specific pixel locations. Furthermore, we are investigating the application of ML algorithms on edge devices, including satellites, mobile phones, and tablets. Additionally, we will explore the combination of multiple modalities, such as audio embedded in videos and the language extracted from that audio.