Gaze Based Quality Assessment of Visual Media Understanding
Jean Martinet, Adel Lablack, Stanislas Lew, Chabane Djeraba · HAL (Le Centre pour la Communication Scientifique Directe) · 2009
Visual media is one of the most widely used in our societies. With the increasing demand for digital image and video technologies in applications such as communication, advertising, or entertainment, there is a growing need for assessment tools to evaluate the quality of visual media understanding. It is necessary to quantify the adequacy of an audience visual media perception and the original message or idea that the media creator intended to transmit. The aim of our work is to build a framework for measuring the quality of a visual media, that is to say its ability to transmit the original idea of the creator, and possibly to give recommendations to the creator about how to better design the media. Based on the recorded gaze data of people viewing the media, we design some qualitative indicators helping to assess the perception of the media by a target audience.