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Electronics and Telecommunications Research Institute (한국전자통신연구원)
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A Fast Normalized Cross Correlation-Based Block Matching Algorithm Using Multilevel Cauchy-Schwartz Inequality

  • Received : 2010.06.01
  • Accepted : 2010.09.10
  • Published : 2011.06.30
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Abstract

This paper presents a fast block-matching algorithm based on the normalized cross-correlation, where the elimination order is determined based on the gradient magnitudes of subblocks in the current macroblock. Multilevel Cauchy-Schwartz inequality is derived to skip unnecessary block-matching calculations in the proposed algorithm. Also, additional complexity reduction is achieved re-using the normalized cross correlation values for the spatially neighboring macroblock because the search areas of adjacent macroblocks are overlapped. Simulation results show that the proposed algorithm can improve the speed-up ratio up to about 3 times in comparison with the existing algorithm.

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References

  1. S. Zhu and K.K. Ma, "A New Diamond Search Algorithm for Fast Block Matching Motion Estimation," IEEE Trans. Image Process., vol. 9, no. 2, 2000, pp. 287-290. https://doi.org/10.1109/83.821744
  2. W. Li and E. Salari, "Successive Elimination Algorithm for Motion Estimation," IEEE Trans. Image Process., vol. 4, no. 1, 1995, pp. 105-107. https://doi.org/10.1109/83.350809
  3. X.Q. Gao, C.J. Duanmu, and C.R. Zou, "A Multilevel Successive Elimination Algorithm for Block Matching Motion Estimation," IEEE Trans. Image Process., vol. 9, no. 3, 2000, pp. 501-504. https://doi.org/10.1109/83.826786
  4. C. Zhu, W.S. Qi, and W. Ser, "Predictive Fine Granularity Successive Elimination for Fast Optimal Block-Matching Motion Estimation," IEEE Trans. Image Process., vol. 14, no. 2, 2005, pp. 213-221. https://doi.org/10.1109/TIP.2004.840702
  5. S.W. Liu, S.D Wei, and S.H. Lai, "Fast Optimal Motion Estimation Based on Gradient-Based Adaptive Multilevel Successive Elimination," IEEE Trans. Circ. Syst. for Video Technol., vol. 18, no. 2, 2008, pp. 263-267. https://doi.org/10.1109/TCSVT.2007.913973
  6. J.N. Kim and T.S. Choi, "Adaptive Matching Scan Algorithm Based on Gradient Magnitude for Fast Full Search in Motion Estimation," IEEE Trans. Consum. Electron., vol. 45, no. 3, 1999, pp. 762-772. https://doi.org/10.1109/30.793593
  7. C.Y. Choi and J.C. Jeong, "New Sorting-Based Partial Distortion Elimination Algorithm for Fast Optimal Motion Estimation," IEEE Trans. Consum. Electron., vol. 55, no. 4, Nov. 2009, pp. 2335-2340. https://doi.org/10.1109/TCE.2009.5373807
  8. W.H. Pan et al., "A Hybrid Motion Estimation Approach Based on Normalized Cross Correlation for Video Compression," IEEE Proc. ICASSP, 2008, pp. 1037-1040.
  9. Z. Wang et al., "Image Quality Assessment: From Error Visibility to Structural Similarity," IEEE Trans. Image Process., vol. 13, no. 4, 2004, pp. 600-612. https://doi.org/10.1109/TIP.2003.819861
  10. B.C. Song and J.B. Ra, "A Fast Search Algorithm for Vector Quantization Using $L_{2}$-norm Pyramid of Codewords," IEEE Trans. Image Process., vol. 11, no. 1, 2002, pp. 10-15. https://doi.org/10.1109/83.977878

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