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A Novel CBCD Scheme Based on Local Features Category

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Web Information Systems and Mining (WISM 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7529))

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Abstract

Global and local features have been applied extensively to improve the performance of Content-Based Copy Detection (CBCD) systems. A novel CBCD scheme which uses global features to category local features is proposed in this paper, containing frame prerecession, database establishment and copy detection. The scheme aims to reach a fast speed and a high accuracy. A proper combination of global and local features in our scheme breeds higher efficiency and accuracy than taking use of any single feature alone. Experimental results indicate that the scheme achieves a rapid scene index and an accuracy frame-frame match.

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References

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Author information

Authors and Affiliations

  1. Institute of Intelligent Control and Image Engineering (ICIE), Xidian University, Xian, China

    Jie Hou, Baolong Guo & Jinfu Wu

Authors
  1. Jie Hou
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  2. Baolong Guo
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  3. Jinfu Wu
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Editor information

Editors and Affiliations

  1. Deaprtment of Business Administration, Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan O, Hong Kong, China

    Fu Lee Wang

  2. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

  3. Department of Computer and Inforamtion Science, University of Macau, Av. Padre Tomás Pereira, Taipa, Macau, China

    Zhiguo Gong

  4. School of Computer, Shanghai University, 200444, Shanghai, China

    Xiangfeng Luo

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© 2012 Springer-Verlag Berlin Heidelberg

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Hou, J., Guo, B., Wu, J. (2012). A Novel CBCD Scheme Based on Local Features Category. In: Wang, F.L., Lei, J., Gong, Z., Luo, X. (eds) Web Information Systems and Mining. WISM 2012. Lecture Notes in Computer Science, vol 7529. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33469-6_40

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  • DOI: https://doi.org/10.1007/978-3-642-33469-6_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33468-9

  • Online ISBN: 978-3-642-33469-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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