Discovering latent semantic factors for emotional picture categorization

How to teach computer to classify pictures into different emotional categories automatically as humans? It is a quite interesting and challenging research direction. This paper defines the latent emotional semantic factors and proposes a novel approach for emotional picture categorization. Unlike traditional methods, the latent emotional semantic factor is defined for representing the middle level semantic concept, and it can effectively bridge the “semantic gap”. In the experiments made on the International Affective Picture System (IAPS), the proposed approach for emotional picture categorization distinctly outperforms the latest method.