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A New Fast and Accurate Heuristic for the Automatic Scene Detection Problem

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  • Catanzaro, Daniele

    (Université catholique de Louvain, LIDAM/CORE, Belgium)

  • Pesenti, Raffaele
  • Ronco, Roberto

Abstract

The Automatic Scene Detection Problem (ASDP) is a combinatorial optimization problem that arises in the context of video processing and that has a central role in the management, storing and content retrieval of videos. The problem consists of partitioning the shots of a given video into scenes by optimizing a measure related to the similarity between the given shots. In this article, we build up upon the results from the literature on the ASDP in order to design a new approximate solution algorithm able to outperform the current state-of-the-art both in terms of speed and quality of the solution.

Suggested Citation

  • Catanzaro, Daniele & Pesenti, Raffaele & Ronco, Roberto, 2021. "A New Fast and Accurate Heuristic for the Automatic Scene Detection Problem," LIDAM Discussion Papers CORE 2021022, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    • Handle: RePEc:cor:louvco:2021022
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    Keywords

    Combinatorial Optimization ; Video Processing ; Segmentation ; Scene Detection ; Heuristics ; Dynamic Programming;
    All these keywords.

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