There are million hours of audiovisual content in collections of broadcaster archives, libraries and museums. Handling the content is undergoing a major change when migrated to files: invisible, stored “somewhere” and played by black box technology. Long-term digital preservation of the content is a pressing need and ensuring integrity is the basis for access and re-use.
Automatic quality control for audiovisual media is an important tool for broadcasters, archives and content providers in media production, delivery and preservation processes but also for post-production houses when estimating restoration costs. Today mainly technical properties of the material are checked automatically. Other relevant content properties or impairments are manually checked. We work on automatic reference-free visual quality detectors for audiovisual files. Our recent research results are about detecting significant visual distortions, so-called video breakups.
The heterogeneity between workflows and metadata models in audiovisual archives leads to various metadata models and standards. Further models exist for presentation and use of metadata on web portals like Europeana. We give an overview of existing models and recent developments of necessary metadata mappings. Our ontology driven approach eases the mapping for a larger number of models. Further we check validity of metadata against the standards they adhere to by semantic approaches complementing today’s syntactical standard validations.
Kurt Majcen, Peter Schallauer, Werner Bailer, Martin Winter, Georg Thallinger & Werner Haas
JOANNEUM RESEARCH, DIGITAL – Institute of Information and Communication Technologies