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The Proceedings of the Second International Conference on Communications, Signal Processing, and Systems pp 225–232Cite as

A Novel 3D Video Format Identification Algorithm

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 246))

Abstract

More and more 3D videos are uploaded on the web. It becomes very difficult to find an expected 3D video from online videos because search engineering identifies 2D and 3D format according to the text description of each video currently. In this paper, a novel 3D video format identification algorithm CM is proposed. The frame extraction and L&R image matching are analyzed. CM combines the gray histogram matching (GHM) and the SIFT feature matching (SFM). It can obtain high identification accuracy up to 99.5 % at the price of low computational time. Compared to GHM and SFM, it shows better comprehensive performance.

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References

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Author information

Authors and Affiliations

  1. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Sichuan, China

    Sheng Su & Zhuo Chen

Authors
  1. Sheng Su
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  2. Zhuo Chen
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Corresponding author

Correspondence to Sheng Su .

Editor information

Editors and Affiliations

  1. College of Physical and Electronic Infor, Tianjin Normal University, Tianjin, People's Republic of China

    Baoju Zhang

  2. College of Physical and Electronic Infor, Tianjin Normal University, Tianjin, People's Republic of China

    Jiasong Mu

  3. College of Physical and Electronic Infor, Tianjin Normal University, Tianjin, People's Republic of China

    Wei Wang

  4. Department of Electrical Engineering, University of Texas at Arlington, Arlington, Texas, USA

    Qilian Liang

  5. School of electronic engineering, University of Electronic Science and Tec, Chengdu, People's Republic of China

    Yiming Pi

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© 2014 Springer International Publishing Switzerland

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Cite this paper

Su, S., Chen, Z. (2014). A Novel 3D Video Format Identification Algorithm. In: Zhang, B., Mu, J., Wang, W., Liang, Q., Pi, Y. (eds) The Proceedings of the Second International Conference on Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol 246. Springer, Cham. https://doi.org/10.1007/978-3-319-00536-2_26

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  • DOI: https://doi.org/10.1007/978-3-319-00536-2_26

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-00535-5

  • Online ISBN: 978-3-319-00536-2

  • eBook Packages: EngineeringEngineering (R0)

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