In this work, the problem of video orchestration performed by combining information extracted by multiple video sequences is considered. The novelty of the proposed approach relies on the use of aesthetic features and of cinematographic composition rules for automatically aggregating the inputs from different cameras in a unique video. While prior methodologies have separately addressed the issues of aesthetic feature extraction from videos and video orchestration, in this work we exploit a set of features of a scene for automatically selecting the shots being characterized by the best aesthetic score. In order to evaluate the effectiveness of the proposed method, a preliminary subjective experiment has been carried out with experts from the audiovisual field. The achieved results are encouraging and show that there is space for improving the performances.
Colangelo, F., Battisti, F., Carli, M., & Neri, A. (2017). A Multi-Objective Optimization for Video Orchestration. In Proceedings della 25th European Signal Processing Conference (EUSIPCO) (pp.768-772). Institute of Electrical and Electronics Engineers Inc. [10.23919/EUSIPCO.2017.8081311].