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Measuring Scene Detection Performance

  • Lorenzo BaraldiEmail author
  • Costantino Grana
  • Rita Cucchiara
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9117)

Abstract

In this paper we evaluate the performance of scene detection techniques, starting from the classic precision/recall approach, moving to the better designed coverage/overflow measures, and finally proposing an improved metric, in order to solve frequently observed cases in which the numeric interpretation is different from the expected results. Numerical evaluation is performed on two recent proposals for automatic scene detection, and comparing them with a simple but effective novel approach. Experimental results are conducted to show how different measures may lead to different interpretations.

Keywords

Scene detection Measures Clustering 

Notes

Acknowledgments

This work was carried out within the project “Città educante” (CTN01_00034_393801) of the National Technological Cluster on Smart Communities co funded by the Italian Ministry of Education, University and Research - MIUR.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Lorenzo Baraldi
    • 1
    Email author
  • Costantino Grana
    • 1
  • Rita Cucchiara
    • 1
  1. 1.Dipartimento di Ingegneria “Enzo Ferrari”Università degli Studi di Modena e Reggio EmiliaModenaItaly

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