Finding your spot: A photography suggestion system for placing human in the scene

Abstract

Capturing a professional like photo is always a challenging task, especially for novice users. This paper proposes a photography suggestion approach to assist users to take high visual quality photos with human in the scene. In this research, we first investigate a set of aesthetic composition rules and visual perception principles to construct an aesthetic score prediction model in order to measure visual quality in terms of photo composition. Then we conduct a study on professional photos to define a proper size for the enclosure of human into the picture of a given scene. The proposed approach is able to leverage saliency and geometric detection to represent composition features. Finally, we utilize an efficient hierarchical search to obtain the optimal enclosure for human in the scene. Extensive experiments have been performed for hot spot landmark locations. Through subjective evaluation, the results show that the proposed approach can effectively provide appealing composition recommendation to help users take high quality photos with human in the scene.