  We present a general theory and corresponding declarative model for the
embodied grounding and natural language based analytical summarisation of
dynamic visuo-spatial imagery. The declarative model ---ecompassing
spatio-linguistic abstractions, image schemas, and a spatio-temporal feature
based language generator--- is modularly implemented within Constraint Logic
Programming (CLP). The implemented model is such that primitives of the theory,
e.g., pertaining to space and motion, image schemata, are available as
first-class objects with `deep semantics' suited for inference and query. We
demonstrate the model with select examples broadly motivated by areas such as
film, design, geography, smart environments where analytical natural language
based externalisations of the moving image are central from the viewpoint of
human interaction, evidence-based qualitative analysis, and sensemaking.
  Keywords: moving image, visual semantics and embodiment, visuo-spatial
cognition and computation, cognitive vision, computational models of narrative,
declarative spatial reasoning
