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A subsampling-predictor associated approach for fast global motion estimation

Ahmadi, A ; Sharif University of Technology | 2012

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  1. Type of Document: Article
  2. DOI: 10.1016/j.scient.2011.12.017
  3. Publisher: 2012
  4. Abstract:
  5. Global Motion Estimation (GME) has many important roles in numerous applications, such as video compression, image stabilization, video-object segmentation, and etc. One well-known GME method is the gradient-based technique. This method uses optimization techniques, like the Levenberg-Marquardt algorithm, to minimize estimation error. Such algorithms require an initial value for the initializing step. In this paper, we propose a simple and reliable GME structure with a new predictor. This structure uses a three-step search and a predictor for the initializing step. It is also incorporated with a fast GME method that uses pixel subsampling. This incorporation reduces the computational complexity of GME without a significant loss of accuracy. This structure has less computational complexity and similar accuracy versus common methods
  6. Keywords:
  7. Estimation errors ; Global motion compensation ; Global motion estimation ; Gradient based ; Image stabilization ; Initial values ; Levenberg-Marquardt algorithm ; Loss of accuracy ; Optimization techniques ; Pixel subsampling ; Subsampling ; Three-step search ; Video-object segmentation ; Algorithms ; Computational complexity ; Forecasting ; Image compression ; Motion compensation ; Motion estimation ; Accuracy assessment ; Algorithm ; Compression ; Error analysis ; Estimation method ; Global change ; Image analysis ; Pixel ; Prediction ; Sampling
  8. Source: Scientia Iranica ; Volume 19, Issue 6 , December , 2012 , Pages 1746-1753 ; 10263098 (ISSN)
  9. URL: http://www.sciencedirect.com/science/article/pii/S1026309812001034