Aesthetic composition represetation for portrait photographing recommendation
Yanhao Zhang, Xiaoshuai Sun, Hongxun Yao, Lei Hua Qin, Qingming Huang · 2012
In this paper, we present an intelligent portrait photographing framework for automatically recommending the suitable positions and poses in the scene of photography taken by amateurs. By analyzing aesthetic characteristics features, we propose a solution by constructing aesthetic composition representation which covers the attention composition and geometry composition to identify the underlying technique of professional photographer. First, we extract the attention composition feature of the professional photo by utilizing a visual saliency model. Then, a geometry composition feature is also presented to learn the spatial correlation. Finally, composition rules are applied to make appropriate pose and position. Experiments show our aesthetic composition representation performs well for portrait photographing recommendation.