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Identification of video subsequence using bipartite graph matching

Journal of the Brazilian Computer Society volume 17, pages 175–192 (2011)Cite this article

Abstract

Subsequence identification consists of identifying real positions of a specific video clip in a video stream together with the operations that may be used to transform the former into a subsequence from the latter. To cope with this problem, we propose a new approach, considering a bipartite graph matching to measure video clip similarity with a target video stream which has not been preprocessed.

The main contributions of our work are the application of a simple and efficient distance to solve the subsequence identification problem along with the definition of a hit function that identifies precisely which operations were used in query transformation. Experimental results demonstrate that our method performances achieve 90% recall with 93% precision, though it is done without preprocessing of the target video.

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Author information

Affiliations

  1. Department of Computer Science, Pontifícia Universidade Católica de Minas Gerais, Rua Walter Ianni, 255, 31980-110, São Gabriel Belo Horizonte, Brazil

    Silvio Jamil Ferzoli Guimarães & Zenilton Kleber Gonçalves do Patrocínio Jr.

Authors
  1. Silvio Jamil Ferzoli Guimarães
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  2. Zenilton Kleber Gonçalves do Patrocínio Jr.
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Corresponding author

Correspondence to Silvio Jamil Ferzoli Guimarães.

Additional information

A previous version of this paper appeared at WEBMEDIA 2010, the Brazilian Symposium on Multimedia and the Web.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Guimarães, S.J.F., do Patrocínio, Z.K.G. Identification of video subsequence using bipartite graph matching. J Braz Comput Soc 17, 175–192 (2011). https://doi.org/10.1007/s13173-011-0036-4

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Keywords

  • Video retrieval
  • Graph bipartite
  • Video clip localization