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To be able to score the aesthetic and emotional appealing of digital pictures through the usage of ad-hoc computational frameworks is now affordable. It is possible to combine low-level features and composition rule to extract semantic issues devoted to isolate the degree of emotional appealing of the involved subject. We propose to assess the aesthetic quality assessment on a general set of photos focusing on consumer photos with faces. Taking into account local spatial relation between involved faces and coupling such information with simple composition rule an effective aesthetic scoring is obtained. A further contribution of the proposed solution is the novel usage of the involved facial expressions and relative pose to derive additional insights to the overall procedure. Preliminary experiments and comparisons with recent solution in the field confirm the effectiveness of the proposed tool.
