Videodatan

Videodatan is a term used in data management and media archives to describe the structured set of data associated with a video asset. It covers the metadata, content-derived data, and auxiliary information that enable searching, sorting, and analysis across large collections of video files.

An instance of videodatan typically comprises technical metadata (duration, resolution, codec, frame rate, file size), descriptive metadata (title, description, creator, keywords), structural metadata (chapters, scenes, streams), administrative metadata (rights, provenance, licensing), and content-analysis data (speech transcripts, OCR text, object and facial detection results, scene changes, audio event tags). Derived representations such as embeddings for search and analytics, thumbnails, and caption tracks are often stored as part of a videodatan suite.

Formats and storage: videodatan can be stored in databases or file stores and serialized as JSON-LD, XML, or RDF to support interoperability. It commonly aligns with catalog and metadata standards such as MPEG-7, Dublin Core, schema.org VideoObject, and IIIF for video resources to facilitate cross-system querying and integration.

Applications: videodatan supports video search and retrieval, recommendation, rights management, content moderation, analytics, and long-term archival preservation. By organizing both descriptive and analytical data, it enables more efficient indexing, reporting, and policy enforcement.

Governance and privacy: handling of personal data and biometric information requires compliance with applicable laws (for example, GDPR/CCPA), with appropriate access controls, data minimization, retention policies, and redaction where needed.

Challenges include data scale, versioning, metadata quality, cross-language support, and ensuring provenance across processing stages.

See also: video metadata, MPEG-7, Dublin Core, schema.org VideoObject, IIIF, video transcription.