Title

Video synchronization and its application to object transfer

Authors

Authors

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

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

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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