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Panoramas from Partially Blurred Video

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Advances in Machine Vision, Image Processing, and Pattern Analysis (IWICPAS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4153))

Abstract

Numerous high-quality image stitching algorithms have been published in the recent years. Mosaics created by these methods are of high quality if the input images are not distorted. However, if the source images are blurred, parts of the resulting mosaic will be blurred also. In this paper we propose a method to create high-quality panoramas from video sequences that contain also low-quality frames. Moreover, our method is computationally efficient, which makes it attractive for hand-held devices. The algorithm uses motion detection to display correctly moving objects in the sequence. The colors of the mosaic are also balanced to handle changes in camera exposure times.

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References

  1. Li, J.S., Randhawa, S.: Improved video mosaic construction by selecting a suitable subset of video images. In: CRPIT 2004: Proceedings of the 27th conference on Australasian computer science, Darlinghurst, pp. 143–149. Australian Computer Society, Inc., Australia (2004)

    Google Scholar 

  2. Hsu, C.T., Cheng, T.H., Beuker, R.A., Horng, J.K.: Feature-based video mosaic. In: Proceedings of the International Conference on Image Processing, Vancouver, Canada, vol. 2, pp. 887–890 (2000)

    Google Scholar 

  3. Davis, J.: Mosaics of scenes with moving objects. In: CVPR 1998: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 354–360. IEEE Computer Society Press, Washington (1998)

    Google Scholar 

  4. Zhu, Z., Xu, G., Riseman, E., Hanson, A.: Fast generation of dynamic and multi-resolution 360 degrees panorama from video sequences. In: Proceedings of the IEEE International Conference on Multimedia Computing and Systems, Florence, Italy, vol. 1, pp. 400–406 (1999)

    Google Scholar 

  5. Zitová, B., Flusser, J.: Image registration methods: a survey. Image and Vision Computing 21(11), 977–1000 (2003)

    Article  Google Scholar 

  6. Radke, R.J., Andra, S., Al-Kofahi, O., Roysam, B.: Image change detection algorithms: a systematic survey. IEEE Transactions on Image Processing 14(3), 294–307 (2005)

    Article  MathSciNet  Google Scholar 

  7. Zomet, A., Levin, A., Peleg, S., Weiss, Y.: Seamless image stitching by minimizing false edges. IEEE Transactions on Image Processing 15(4), 969–977 (2006)

    Article  Google Scholar 

  8. Szeliski, R.: Video mosaics for virtual environments. IEEE Computer Graphics & Applications, 22–30 (1996)

    Google Scholar 

  9. Xiao, F., Wu, H.Z., Xiao, L., Tang, Y., Ma, W.J.: Auto method for ambient light independent panorama mosaics. In: Proceedings of International Conference on Machine Learning and Cybernetics, Shanghai, China, vol. 6, pp. 3851–3854. IEEE Computer Society Press, Los Alamitos (2004)

    Google Scholar 

  10. Vandewalle, P., Süsstrunk, S., Vetterli, M.: A Frequency Domain Approach to Registration of Aliased Images with Application to Super-Resolution. EURASIP Journal on Applied Signal Processing (special issue on Super-resolution) (2005)

    Google Scholar 

  11. Marzotto, R., Fusiello, A., Murino, V.: High resolution video mosaicing with global alignment. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 01, pp. 692–698. IEEE Computer Society Press, Los Alamitos (2004)

    Google Scholar 

  12. Peleg, S., Herman, J.: Panoramic mosaics by manifold projection. In: CVPR 1997: Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR 1997), Washington, DC, USA, pp. 338–343. IEEE Computer Society Press, Los Alamitos (1997)

    Google Scholar 

  13. Heikkilä, M., Pietikäinen, M.: An image mosaicing module for wide-area surveillance. In: VSSN 2005: Proceedings of the third ACM international workshop on Video surveillance & sensor networks, pp. 11–18. ACM Press, New York (2005)

    Chapter  Google Scholar 

  14. Bovik, A., Gibson, J., Bovik, A. (eds.): Handbook of Image and Video Processing. Academic Press, Inc., Orlando (2000)

    MATH  Google Scholar 

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Author information

Authors and Affiliations

  1. Machine Vision Group, Department of Electrical and Information Engineering, University of Oulu, P.O.Box 4500, FI-90014, Finland

    Jani Boutellier & Olli Silvén

Authors
  1. Jani Boutellier
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  2. Olli Silvén
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Editor information

Editors and Affiliations

  1. Xi’an Jiaotong University, 710049, Xi’an, China

    Nanning Zheng

  2. Department of Mathematics and Computer Science, University of Münster, Einsteinstrasse 62, D-48149, Münster, Germany

    Xiaoyi Jiang

  3. Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xianning West Road 28, 710049, Xi’an, China

    Xuguang Lan

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© 2006 Springer-Verlag Berlin Heidelberg

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Boutellier, J., Silvén, O. (2006). Panoramas from Partially Blurred Video. In: Zheng, N., Jiang, X., Lan, X. (eds) Advances in Machine Vision, Image Processing, and Pattern Analysis. IWICPAS 2006. Lecture Notes in Computer Science, vol 4153. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11821045_32

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  • DOI: https://doi.org/10.1007/11821045_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37597-5

  • Online ISBN: 978-3-540-37598-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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