The NetMedia department’s main priority is their research into "Multimedia Pattern Recognition" and "Deep Learning". Both are central to any work we do with business clients involving "Content Technologies and Services" and "Image Processing" and the specialist skills we have developed are applied with a particular emphasis on practicality.

Scientific Focus: Statistical pattern recognition algorithms

The department’s scientific focus is on exploring and developing statistical pattern recognition algorithms and processes which can be applied to multimedia data. This generally involves predominantly unstructured image, document, voice and audio data without any additional descriptive information (meta data). Raw multimedia data is automatically structured, analyzed and enriched with meta data with the help of document analysis, image processing and speech recognition. 

Practical Applications

The existing software libraries that the document analysis, image processing, speech recognition and audio analysis are based on are adapted, licensed and integrated for practical use. In order to process comprehensive media content we must also develop complex software systems. Pattern recognition processes, for instance, will be integrated into search engine applications making it easier for our customers’ data pools to be searched and accessed more efficiently.

Who we work for

NetMedia is targeted at the media (radio, TV, publishers) and other data intensive industries who have a high demand for the analysis and recognition of unstructured data. Our customers include the German broadcasting stations WDR and SWR, the sports magazine kicker, the Bayerische Staatsbibliothek (Bavarian Library), a range of automotive suppliers plus a number of other technology partners. In order to expand and deepen our expertise we are also actively involved in national research projects such as KMU-Innovativ and European research programs including Horizon 2020.  

Business areas


Computer Vision

If AI-based systems are to interact safely with humans and their environment they must be able to reliably recognize their surroundings.


Document Analytics

From pixels to content: We make knowledge accessible.


Speech Technologies

Speech technology "made in Germany" is the ideal tool for extrapolating audiovisual content and making possible intuitive interaction in business-to-business applications.

Core competencies


Cognitive Perception

The recognition and analysis of speech, audio signals, images, videos and documents by means of artificial intelligence are the focus of our research.


Machine Learning

We design the Machine Learning of the future, which is driven by both data and knowledge.