ESTIMATION OF IMPRESSION ASSOCIATED WITH PORTRAITS USING FACIAL LANDMARKS AND VISUAL FEATURES

Portrait manipulation techniques are important for expressing oneself in social networking or portrait/video posting services. Even though several applications (e.g., smartphone apps) have been developed to facilitate portrait manipulation, it is still difficult to obtain ideal results owing to the large number of user-controllable parameters. To tackle this problem, we propose a novel application that can manipulate portraits using impression words. In this study, we select new portraits and impression words, and we devise new experimental settings to enrich the dataset. Moreover, using human evaluations collected by crowdsourcing, we develop and analyze a novel ranking network that uses portraits and facial landmarks as input for impression estimation of the manipulated images.