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Personalized Summarization of Broadcasted Soccer Videos with Adaptive Fast-Forwarding

  • Fan Chen
  • Christophe De Vleeschouwer
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 124)

Abstract

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.

Keywords

Personalized Video Summarization Adaptive Fast forwarding Soccer Video Analysis 

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Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2013

Authors and Affiliations

  • Fan Chen
    • 1
  • Christophe De Vleeschouwer
    • 2
  1. 1.Japan Advanced Institute of Science and TechnologyNomiJapan
  2. 2.Université catholique de LouvainLouvain-la-NeuveBelgium

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