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Image Based Video Querying Algorithm Using 3-Level Haar Wavelet Transform Features

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Advances in Computer Science and Ubiquitous Computing (UCAWSN 2016, CUTE 2016, CSA 2016)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 421))

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Abstract

Surveillance cameras and smartphone cameras produce huge amount of video data in our daily life. Effective utilization of huge video data is emerging as a new big problem in the ubiquitous video intelligent systems. Searching for a specific frame in video stream is one of challenging issues in this area. This paper proposes an image based video querying algorithm using 3-level Haar wavelet transform features. Hierarchical decomposition of wavelet transform enables to use features in both space and scaling domains. This paper employs 3-level Haar wavelet feature of an image to query matched frame in a video stream. In experimental results, we can find that the proposed algorithm shows about 1–8% better performance in accuracy than other algorithms.

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References

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Acknowledgments

This work was supported by the IT R&D program of MSIP/IITP, Korea [2014-044-020-001, Development of High Performance Visual BigData Discovery Platform for Large-Scale Realtime Data Analysis].

Author information

Authors and Affiliations

  1. Department of Electronics, Information and Communications Engineering, Daejeon University, 62 Daehak Ro, Dong Gu, Daejeon, 34520, Korea

    Changseok Bae

  2. School of Information Technologies, The University of Sydney, University of Sydney J12, Sydney, NSW, 2006, Australia

    Yuk Ying Chung

  3. SW and Contents Research Laboratory, ETRI 218 Gajeong Ro, Yuseong Gu, Daejeon, 34129, Korea

    Jeunwoo Lee

Authors
  1. Changseok Bae
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  2. Yuk Ying Chung
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  3. Jeunwoo Lee
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Corresponding author

Correspondence to Changseok Bae .

Editor information

Editors and Affiliations

  1. Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, Korea (Republic of)

    James J. (Jong Hyuk) Park

  2. Department of Computer Science, Georgia State University, Atlanta, Georgia, USA

    Yi Pan

  3. Computer Science and Engineering, Gangneung-Wonju National University, Wonju, Korea (Republic of)

    Gangman Yi

  4. University Salerno, Fisciano, Italy

    Vincenzo Loia

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© 2017 Springer Nature Singapore Pte Ltd.

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Bae, C., Chung, Y.Y., Lee, J. (2017). Image Based Video Querying Algorithm Using 3-Level Haar Wavelet Transform Features. In: Park, J., Pan, Y., Yi, G., Loia, V. (eds) Advances in Computer Science and Ubiquitous Computing. UCAWSN CUTE CSA 2016 2016 2016. Lecture Notes in Electrical Engineering, vol 421. Springer, Singapore. https://doi.org/10.1007/978-981-10-3023-9_120

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  • DOI: https://doi.org/10.1007/978-981-10-3023-9_120

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3022-2

  • Online ISBN: 978-981-10-3023-9

  • eBook Packages: EngineeringEngineering (R0)

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