
In raw imaging workflows, metadata is as critical as pixel data. Raw files do not merely store sensor measurements; they also encode the information required to interpret those measurements as color, brightness, and dynamic range. When computational methods modify raw-domain image data, this interpretive metadata is often lost, invalidated, or omitted, producing substantial rendering inconsistencies in downstream software. PARSEK (the Probabilistic Alignment Raw Stitcher Experiment from Kentucky) exposes this problem clearly: although its super-resolution output preserves useful raw-domain image content, results saved without appropriate metadata can exhibit severe color and tonal shifts when opened in conventional raw processors. This paper presents KYDNG, a DNG repackaging pipeline designed to preserve perceptual consistency by embedding reconstructed raw image data together with metadata derived from the source capture. The implementation writes raw-specific structural tags, including CFA pattern and repeat dimensions, and propagates key camera-dependent rendering metadata, including ColorMatrix1, AsShotNeutral, and black and white levels, while also embedding a JPEG preview. The resulting files are intended to be interpreted by standard raw development tools using the same camera-consistent rendering assumptions as the original capture.

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.