Abstract
Video stabilization is an important video enhancement technology which aims at removing undesired shaking from input videos. A challenging task in stabilization is to inpaint the missing pixels of undefined areas in the motion-compensated frames. This paper describes a new video stabilization method. It adopts a multi-layer model to improve the efficiency of the video stabilization. The undefined areas can be inpainted in real-time. Compared with traditional methods, our proposed algorithm only need maintain a single updated mosaic image for video completion, while previous methods require to store all neighboring frames and then registered with the current frame. The experimental results demonstrated the effectiveness of the proposed approach.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ratakonda, K.: Real-time digital video stabilization for multi-media applications. In: IEEE Proceedings of the 1998 IEEE International Symposium on Circuits and Systems, vol. 4, pp. 69–72 (1998)
Censi, A., Fusiello, A., Roberto, V.: Image stabilization by features tracking. In: IEEE Proceedings of the 9th International Conference on Image Analysis and Processing, Venice, Italy, pp. 665–667 (September 1999)
Kurz, C., Thormahlen, T., Seidel, H.: scene-aware video stabilization by visual fixation. In: IEEE Conference for Visual Media Production, CVMP 2009, pp. 1–6 (2009)
Lee, K., Chuang, Y., Chen, B.Y., Ouhyoung, M.: Video Stabilization using Robust Feature Trajectories. In: IEEE 12th International Conference on Computer Vision, ICCV 2009, pp. 1397–1404 (2009)
Matsushita, Y., Ofek, E., Tang, X., Shum, H.: Full-frame Video Stabilization. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, pp. 50–57 (2005)
Hu, R., Shi, R., Shen, F., Chen, W.: Video Stabilization Using Scale-Invariant Features. In: IEEE Proceedings of 11th International Conference on Information Visualization, IV 2007, pp. 871–877 (2007)
Tico, M., Vehvilainen, M.: Constraint motion filtering for video stabilization. In: IEEE International Conference on Image Processing, pp. 569–576 (2005)
Marcenaro, L., Vernazza, G., Regazzoni, C.: Image stabilization algorithms for video-surveillance applications. In: IEEE Proc. of International Conference on Image Processing, ICIP 2001, vol. 1, pp. 349–352 (2001)
Litvin, A., Konrad, J., Karl, W.: Probabilistic Video Stabilization using Kalman Filtering and Mosaicking. International Society for Optics and Photonics: Electronic Imaging 5022, 663–674 (2003)
Bombini, L., Cerri, P., Grisleri, P., Scaffardi, S., Zani, P.: An evaluation of monocular image stabilization algorithms for automotive applications. In: IEEE Intelligent Transporta-tion Systems Conference, ITSC 2006, pp. 1562–1567 (2006)
Broggi, A., Grisleri, P., Graf, T., Meinecke, M.: A software video stabilization system for automotive oriented applications. In: IEEE 61st Vehicular Technology Conference, VTC 2005, pp. 2760–2764 (2005)
Xu, L., Lin, X.: Digital image stabilization based on circular block matching. IEEE Transactions on Consumer Electronics, 566–574 (2006)
Chang, H., Lai, S., Lu, K.: A robust real-time video stabilization algorithm. Journal of Visual Communication and Image Representation 17, 659–673 (2006)
Niskanen, M., Silven, O., Tico, M.: Video Stabilization Performance Assessment. In: IEEE International Conference on Multimedia and Expo, ICME 2006, pp. 405–408 (2006)
Zhang, G., Hua, W., Qin, X., Shao, Y., Bao, H.: Video stabilization based on a 3D perspec-tive camera model. J. The Visual Computer Visual Computer 25, 997–1008 (2009)
Kwon, O., Shin, J., Paik, J.: Video Stabilization Using Kalman Filter and Phase Correlation Matching. Image Analysis and Recognition, 141–148 (2005)
Bhat, P., Zitnick, C., Snavely, N., Agarwala, A., Agrawala, M., Cohen, M., Curless, B., Kang, S.: Using photographs to enhance videos of a static scene. In: Proceedings of the 18th Eurographics conference on Rendering Techniques, pp. 327–338 (2007)
Buehler, C., Bosse, M., McMillan, L.: Non-metric image based rendering for video stabilization. In: Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2001, pp. 609–614 (2001)
Fitzgibbon, A., Wexler, Y., Zisserman, A.: Image-based rendering using image-based priors. International Journal of Computer Vision 63, 141–151 (2005)
Liu, F., Gleicher, M., Jin, H., Agarwala, A.: Contentpreserving warps for 3d video stabi-lization. ACM Transactions on Graphics 28, Article: 44 (2009)
Liu, F., Gleicher, M., Wang, J., Jin, H., Agarwala, A.: Subspace video stabilization. ACM Transactions on Graphics 30(1), 4 (2011)
Zhou, Z., Jin, H., Ma, Y.: Plane-Based Content Preserving Warps for Video Stabilization. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2013, pp. 2299–2306 (2013)
Yan, W., Kankanhalli, M.: Detection and removal of lighting & shaking artifacts in home videos. In: Proceedings of the Tenth ACM International Conference on Multimedia, pp. 107–116 (2002)
Song, D., Chen, X., Yang, J.: Real-time full frame video stabilization. In: Proceeding of the International conference on Applied Informatics and Communication, ICAIC 2012 (2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Long, W., Yang, J., Song, D., Chen, X., He, X. (2015). A Novel Fast Full Frame Video Stabilization via Three-Layer Model. In: He, X., Luo, S., Tao, D., Xu, C., Yang, J., Hasan, M.A. (eds) MultiMedia Modeling. MMM 2015. Lecture Notes in Computer Science, vol 8935. Springer, Cham. https://doi.org/10.1007/978-3-319-14445-0_22
Download citation
DOI: https://doi.org/10.1007/978-3-319-14445-0_22
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-14444-3
Online ISBN: 978-3-319-14445-0
eBook Packages: Computer ScienceComputer Science (R0)