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Optimization of videos for users with age-related, visual impairments

Based on the increased life expectancy, the amount of eye diseases are also raising, e.g., senile macular degeneration (AMD). Hence, an increasing number of users are limited by these impairments in their daily life. For example, media consumption is not possible any more or limited. So, this important social aspect is refused for elderly people with visually impairments.
The project OptiVID provides a systems, which allows the target group (elderly people with visual impairments) to apply filter- and optimization-techniques on digital videos to compensate individual visual impairments. For example, edge detection can be used to increase the level of detail, and brightness and contrast adaptions can be applied.. The feasibility of these measures will be evaluated during the project duration. In contrast to existing optimization techniques like screen-reading devices (which allow the enlargement of books and magazines), OptiVID provides the possibility to create individual and content-dependent optimization profiles for video content. So, every user can create an individual profile for each relevant content category, e.g., sportscast, newscast, documentary, etc.

Our contributions:

  • Software development based on Webtechnologies like Angular, Electron, etc.
  • Support of development process with UCD-methods
  • Evaluation of the final system regarding usability, UX and impact on daily life
  • Scientific dissemination
  • Lead of the project consortium


AIT Austrian Institute of Technology GmbH, Center for Technology Experience

Project partners


Hilfsgemeinschaft der Blinden und Sehschwachen Österreichs


Key Words: Video players, age-related visual impairments, accessibility

Start: 01/2018

Duration: 36 months

Customer / Funding Organisation: FFG Österreichische Forschungsförderungsgesellschaft

Funding Frame: benefit - demographischer Wandel als Chance

Funding contract number: 865698

AIT project management: Andreas Sackl

This project was funded by the Federal Ministry of Transport, Innovation and Technology (BMVIT) and commissioned by the Austrian Research Promotion Agency (FFG) under the "benefit" program.