We propose a hybrid personalized summarization framework that combines adaptive fast-forwarding and content truncation to generate comfortable and compact video summaries. We formulate video summarization as a discrete optimization problem, where the optimal summary is determined by adopting Lagrangian relaxation and convex-hull approximation to solve a resource allocation problem. Subjective experiments are performed to demonstrate the relevance and efficiency of the proposed method.
CHEN, F., & De Vleeschouwer, C. (2013). Personalized summarization of broadcasted soccer videos with adaptive fast-forwarding. Proceedings of the 5th International Conference on Intelligent Technologies for Interactive Entertainment, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Vol. 124, Mons, Belgium. Published. 5th International Conference on Intelligent Technologies for Interactive Entertainment, Mons, Belgium. https://doi.org/10.1007/978-3-319-03892-6_1