We now combine a range of computational techniques for which there are already good solutions available, such as shot detection, face detection, etc., into a flexible tool named <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic">Zoetrope</hi>, supporting the progressive annotation of larger data sets by means of a more interactive interface (see Figure 3). <hi xmlns="http://www.tei-c.org/ns/1.0" rend="italic">Zoetrope</hi> enhances the existing landscape of tools for audiovisual annotation and analysis (for an overview see Pustu-Iren et al., 2020), as it is not only capable of visualizing automatic annotations, but also provides some basic functionalities for querying the video, for instance for specific key words or named entities. By these means, annotation becomes an activity that can leverage both automatic results of audiovisual processing and more abstract characterizations of data in terms such as cohesive structures as used above.