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Fast global motion estimation based on iteration least-square estimation with sustained symmetrical structure | IEEE Conference Publication | IEEE Xplore

Fast global motion estimation based on iteration least-square estimation with sustained symmetrical structure


Abstract:

Global motion estimation (GME) plays an important role in a variety of video processing applications, such as content-based coding, coarse video segmentation, and mosaic....Show More

Abstract:

Global motion estimation (GME) plays an important role in a variety of video processing applications, such as content-based coding, coarse video segmentation, and mosaic. In this paper a novel fast global motion estimation algorithm based on iterative least square estimation (ILSE) is proposed for a four-parameter linear global motion model. The basic idea is to design rules to keep the symmetrical structure of processing units during iterative process, which can enormously reduce the computation load without impact on the estimation accuracy. The performance of the proposed fast-ILSE is analyzed and compared with traditional ILSE algorithm using sum of absolute difference (SAD) as criteria. Roughly about 50% addition operation is eliminated during calculation of zoom parameters, and 100% multiplying operation and 75% of adding operations are eliminated during calculation of pan parameters. And the proposed algorithm shows better estimation performance than the traditional ILSE method
Date of Conference: 21-24 May 2006
Date Added to IEEE Xplore: 11 September 2006
Print ISBN:0-7803-9389-9

ISSN Information:

Conference Location: Island of Kos

References

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