Movie Scene Classification Using Finite State Machines
Among many genres of video production, feature films are a vital field for the application of such tools. Feature films are produced in accordance with the “film grammars”, which is a set of rules of how the films should be generated to reveal the story lines. In this work, we utilized the knowledge of film grammars, and modeled the movie scenes using the Finite State Machines. Three scene categories are modeled, action, dialog and suspense scenes. This method analyses the structural information of the scenes based on the low-level and mid-level features. The presented framework has demonstrated the usefulness of FSM by experimenting on over 80 movie scenes and has achieved high accuracy scores, including recall and precision scales.