Video synchronization and its application to object transfer

    Authors

    X. C. Cao; L. Wu; J. J. Xiao; H. Foroosh; J. U. Zhu;X. H. Li

    Comments

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    Abbreviated Journal Title

    Image Vis. Comput.

    Keywords

    Fundamental ratios; Video synchronization; Camera motion analysis; TO-SEQUENCE ALIGNMENT; Computer Science, Artificial Intelligence; Computer Science, Software; Engineering; Computer Science, Theory & Methods; Engineering, Electrical; & Electronic; Optics

    Abstract

    In video post-production applications, camera motion analysis and alignment are important in order to ensure the geometric correctness and temporal consistency. In this paper, we trade some generality in estimating and aligning camera motion for reduced computational complexity and increased image-based nature. The main contribution is to use fundamental ratios to synchronize video sequences of distinct scenes captured by cameras undergoing similar motions. We also present a simple method to align 3D camera trajectories when the fundamental ratios are not able to match the noisy trajectories. Experimental results show that our method can accurately synchronize sequences even when the scenes are totally different and have dense depths. An application on 3D object transfer is also demonstrated. (C) 2009 Elsevier B.V. All rights reserved.

    Journal Title

    Image and Vision Computing

    Volume

    28

    Issue/Number

    1

    Publication Date

    1-1-2010

    Document Type

    Article

    Language

    English

    First Page

    92

    Last Page

    100

    WOS Identifier

    WOS:000272895000010

    ISSN

    0262-8856

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