DeepRestore
The main goal in this project is increasing precision and restoration efficiency, based on Deep Learning models for dust/dirt and permanent defects such as scratches and camera hairs.
Event Driven Film Restoration
The acronym EDFIRE stands for Event Driven Film Restoration. The R&D project started May 2019. Together with the German company Cube-Tec International, well-known for their high-end video & audio tools, the EDFIRE research team will develop new technology to automate and streamline the restoration and correction of film and video defects based on sensoric data generated by Cube-Tec’s migration solutions.
AVEROS - Automatic Media Restoration
Media enhancement and restoration is currently an intensive manual process. AVEROS envisions a robust and efficient restoration system, designed as a flexible white-label service. Public and in-house media cloud based services can brand the AVEROS offering and combine it with existing media services to ensure the fastest market take-up and to create a high value offering for specific end-user groups.
The goal of AVEROS is to create an easily accessible, automated, scalable and fast video restoration and enhancement service operable by non-expert users.
DAVID - Digital AV Media Damage Prevention and Repair
DAVID will research how to structure, store, monitor, repair and improve digital audiovisual content in a way that balances long-term costs, risks of loss, and content quality.
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RestoreNet
The aim of RestoreNet is to create a collaborative environment for digital film restoration.
PRESTOSPACE
PRESTOSPACE is an integrated project in the European IST FP6 programme. Under the leadership of major European content holders preservation- and restoration-technologies are further developed.
The role of HS-ART is in the integration of DIAMANT-Film Restoration with other tools and expansion into an open and flexible platform for restoration algorithms. For this reason we have provided the research partners with DIAMANT-Film Restoration support licenses. Read more ...
vdQA : Video Quality Analysis
Automatic and efficient quality analysis of audiovisual content has become a crucial step before storing the material for later use. While most approaches in this area are only dealing with low level signal analysis, the goal of this project is to go far beyond state-of-the-art procedures. On the basis of novel as well as proven computer vision methods, we will attempt to incorporate high level knowledge in the analysis step, thus achieving significant better and faster results than current methods, comparable in their reliability with a human operator. Read more ...
DIAMANT
From 1993 onward, it has been our goal to develop a system for digital film restoration. The DIAMANT project allowed us to reach this goal and lead into the DIAMANT-Film Restoration Software in 2001.
