Film scholars compel us to develop automated approaches to support scientific film studies. Current related organizations and researchers focus on developing video analysis software which provides management, organization, data mining, querying and retrieval of videos or video content (efficient databases and unlimited annotating). Other features these researchers desire includes ‘digital formalism’ and collaboration. The desired video analysis systems are either lacking desired functionality, have not been developed due to lack of funds or approval, are using closed sources, or are mainly geared towards sports or physics. Although the technologies vary in many ways, majority have one thing in common, biometrics. For example, Transana has incorporated voice recognition to transcribe dialogue into files. The intention of this paper is to propose an automated film analysis system which will help familiarize film scholars with a film and reduce the time and manual labor spent on analysis.

Recommended Citation: Jackson D., Gebauer J., Ricanek K., Simmonds D., (2011). Face Recognition Approach to Automating Film Analysis. UNCW MS CSIS Proceedings. V. 5 , N. 2 .