In 2017 the Swedish government launched a new Digital Strategy, with the overall goal for Sweden to be the best in the world in use of digitalization opportunities. Museums, archives and libraries are important organizations when it comes to fulfilling that goal. The interest for the museum collections is increasing and with that, the need to explore the collections increases. The Centre for Conservation of Cultural Property in Kiruna is a part of the national digitalization of Sweden’s cultural heritage. The department of Digitzation offers Sweden’s museums and archives digitization of a wide range of photographic material – glass negatives, slides and plastic film. Nordiska Museet is Sweden’s largest museum of cultural history and stories about the life and people of the Nordic region. It is home to over one and a half million exhibits. The collections reflect nordic lifestyle from the 16th century to the present day.
EN 17650 is a proposed new European Standard for the digital preservation of cinematographic works. It allows organizing of content in a systematic way, the so called Cinema Preservation Package (CPP). The standard defines methods to store content in physical and logical structures and describes relationships and metadata for its components. The CPP uses existing XML schemes, in particular METS, EBUCore and PREMIS to store structural, descriptive, technical and provenance metadata. METS XML files with their core metadata contain physical and logical structures of the content, hash values and UUIDs to ensure data integrity and links to external metadata files to enrich the content with additional information. The content itself is stored based on existing public and industry standards, avoiding unnecessary conversion steps. The paper explains the concepts behind the new standard and specifies the usage and combinations of existing schemes with newly introduced metadata parameters.
Identifying the source of a video recording created by a camera or smartphone has been a common and challenging task in media forensics for many years. We present an approach for source identification on the very common MP4 file format. In extension to related works, we propose to consider the suitability of attribute field values and their respective order in the atom/box tree in a specific manner. The significance of a field attribute and its particular value for source identification will be reflected by means of up and down weighting during the training and the matching process. Experimental result indicate that our approach allows distinguishing major brands. Even device identification is possible for a subset of our training data.