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SCIENCE CHINA Information Sciences, Volume 63 , Issue 1 : 114101(2020) https://doi.org/10.1007/s11432-018-9764-0

Spatiotemporal consistency-based adaptive hand-held video stabilization

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  • ReceivedJun 27, 2018
  • AcceptedDec 29, 2018
  • PublishedSep 11, 2019

Abstract

There is no abstract available for this article.


Acknowledgment

This work was supported in part by National Natural Science Foundation of China (Grant Nos. 61672077, 61532002) and Applied Basic Research Program of Qingdao (Grant No. 161013xx).


Supplement

Videos and other supplemental documents.


References

[1] Hartley R, Zisserman A. Multiple View Geometry in Computer Vision. Cambridge: Cambridge University Press, 2004. Google Scholar

[2] Liu S, Yuan L, Tan P. Bundled camera paths for video stabilization. ACM Trans Graph, 2013, 32: 78 CrossRef Google Scholar

[3] Bronshtein I N, Semendyayev K A. Handbook of Mathematics. Berlin: Springer, 2013. Google Scholar

[4] Huang N E, Shen Z, Long S R. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc R Soc London Ser A-Math Phys Eng Sci, 1998, 454: 903-995 CrossRef ADS Google Scholar

  • Figure 1

    (Color online) Pipeline of our framework. (a) Feature extraction, matching, and saliency map construction;protect łinebreak (b) salient region preserving-based spatial structure consistency optimization; (c) self-adaptive IMFs; (d) feature-centric EMD.

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