Modern mobile devices such as smartphones enable even the most novice user to easily take high quality pictures. Along with technological advances in the field of image sensory, the integration of user-supporting analyzing and correcting techniques (e.g. auto-exposure and face recognition) contributed significantly to an improvement in quality of the created content. Compared to taking individual pictures, the filming of high-quality videos takes much more effort for amateurs, as they possess little to none domain-specific knowledge. This project - a cooperation of emotion3D, a company which specializes in software engineering and image processing (e.g. 3D Vision Systems) for both film and post production, together with the research group Interactive Media Systems TU Vienna and experts in the field of user-centered-design at Technikum Vienna GmbH - aims at developing algorithms and their implementation in software tools in order to assist users when filming on mobile devices such as smartphones or tablets. More specifically, users receive easily comprehensible and automatically generated suggestions during recording in order to improve video direction (e.g. storyboard based concept) and are subsequently provided with feedback. The technical realization of the PersonalFilmAssistant is carried out through respective video processing algorithms, which extract low level scene information such as movement of objects for a subsequent knowledge domain transfer to an expert level of video direction.