Global motion estimation from coarsely sampled motion vector field and the applications

Global motion estimation is a powerful tool widely used in video processing and compression as well as in computer vision areas. We propose a new approach for estimating global motions from coarsely sampled motion vector fields. The proposed method minimizes the fitting error between the input motio...

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Bibliographic Details
Published in:IEEE transactions on circuits and systems for video technology 2005-02, Vol.15 (2), p.232-242
Main Authors: Yeping Su, Ming-Ting Sun, Hsu, V.
Format: Article
Language:English
Subjects:
Application software
Application specific processors
Coding
Compressing
Computer errors
Computer vision
Error concealment
Errors
global motion estimation (GME)
Mathematical analysis
Mathematical models
Motion estimation
motion vector field
MPEG 4 Standard
Newton method
Robustness
Transcoding
Vectors (mathematics)
Video coding
Video compression
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Summary:Global motion estimation is a powerful tool widely used in video processing and compression as well as in computer vision areas. We propose a new approach for estimating global motions from coarsely sampled motion vector fields. The proposed method minimizes the fitting error between the input motion vectors and the motion vectors generated from the estimated motion model using the Newton-Raphson method with outlier rejections. Applications of the proposed method in video coding include fast global motion estimation for MPEG-4 Advanced Simple Profile coding, MPEG-2 to MPEG-4 ASP transcoding, and error concealments. Simulation results and analyses are provided for the proposed method and the applications, which show the effectiveness of the method in terms of accuracy, robustness, and speed.
ISSN:1051-8215
1558-2205
DOI:10.1109/TCSVT.2004.841656