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
Kang, K., Kwon, Y., Moon, J., Bae, C.: Challenging issues in visual information understanding researches. In: He, X., Luo, S., Tao, D., Xu, C., Yang, J., Hasan, M.A. (eds.) MMM 2015, Part II. LNCS, vol. 8936, pp. 458–469. Springer, Heidelberg (2015)
Talukder, K.H., Harada, K.: Haar wavelet based approach for image compression and quality assessment of compressed image. arXiv preprint arXiv:1010.4084 (2010)
Daubechies, I.: Orthonormal bases of compactly supported wavelets. Commun. Pure Appl. Math. 41(7), 909–996 (1988)
Wu, Y., Takatsuka, M.: Three dimensional colour pickers. In: Proceedings of the 2005 Asia-Pacific symposium on Information visualisation vol. 45, pp. 107–114. Australian Computer Society, Inc. (2005)
Morissette, L., Chartier, S.: The k-means clustering technique: General considerations and implementation in mathematica. Tutorials Quant. Methods Psychol. 9(1), 15–24 (2013)
Memarsadeghi, N., Mount, D.M., Netanyahu, N.S., Le Moigne, J.: A fast implementation of the ISODATA clustering algorithm. Int. J. Comput. Geom. Appl. 17(01), 71–103 (2007)
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].
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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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