Personalized Summarization of Broadcasted Soccer Videos with Adaptive Fast-Forwarding

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.

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