Video material in museum, archive and heritage collections often contains a wealth of information, but it is not always easy to access. Long recordings, composite registrations or unstructured source material take time to view and describe. Relevant fragments, themes and moments often remain hidden. With Video segmentation, video material is divided into separate meaningful parts, such as scenes, topics, speakers, transitions or content fragments. This creates more structure in the recording and makes it possible to search, analyse and select more precisely.

From long recording to usable parts

Video segmentation divides video material into smaller recognisable units. A recording is no longer approached as one whole, but as a collection of separate fragments with their own content and meaning.

Better access to audiovisual material

By dividing video into segments, specific scenes, topics or moments become easier to find. This makes audiovisual material more searchable and accessible for researchers, collection managers and the public.

Support for description and access

Segmented video provides a stronger basis for further enrichment. Segments can be individually linked to timecodes, descriptions, keywords or additional metadata.

Valuable for research and selection

For collection research, curation and reuse, it is often important to find relevant fragments quickly. Video segmentation helps you select, compare and analyse material without reviewing full recordings each time.

Suitable for many types of video material

Video segmentation is valuable for interviews, recordings, documentaries, oral history, event footage and other audiovisual heritage.

A complement to human expertise

Technology supports the work but does not take it over. AI helps recognise transitions, topics and structure, while substantive assessment and refinement remain with the people who know the material.