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An efficient Video Coding using Phase-matched Error from Phase Correlation Information

An efficient Video Coding using Phase-matched Error from Phase Correlation Information. Manoranjan Paul 1 and Golam Sorwar 2 2008 IEEE. Outline. Introduction Propose technique Phase correlation Binary Matrix Generation using Phase Correlation Mode Selection from the Binary Matrix

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An efficient Video Coding using Phase-matched Error from Phase Correlation Information

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  1. An efficient Video Coding using Phase-matchedError from Phase Correlation Information Manoranjan Paul1 and Golam Sorwar2 2008 IEEE

  2. Outline • Introduction • Propose technique • Phase correlation • Binary Matrix Generation using Phase Correlation • Mode Selection from the Binary Matrix • Computational complexity • Simulation results • Conclusion

  3. Introduction • Variable block size motion estimation and compensation in H.264. How to choose mode?(RDO) • Some Fast mode selection mode sacrifice some quality or increase bit streams to reduce computation time. • Here we advise a algo. using phase correlation technique to predict block size saving 50% time without degrading the image quality.

  4. Phase correlation • In image processing, phase correlation is a method of image registration, and uses a fast frequency-domain approach to estimate the relative translative offset between two similar images. Example:

  5. Phase correlation • To obtain the Phase Correlation of two images, perform these steps: • DFT: • cross power spectrum: • IDFT: • Determine the location of the peak in

  6. (5,6) (5,7) two motions (6,5) one motion no motion

  7. Binary Matrix Generation using Phase Correlation • Phase-matched error • ) • ) • ) • ) • ) r:reference bolck, c:current block e:phase-mached error

  8. Binary Matrix Generation using Phase Correlation [13] To L., M. Pickering, M. Frater, and J. Arnold, “A motion confidence measure from phase information,” IEEE International Conference on Image Processing, pp. 2583-2586, 2004.

  9. Binary Matrix Generation using Phase Correlation • The ratio D represents the proportion of energy in the lower-frequency components. • ) • )

  10. Binary Matrix Generation using Phase Correlation T=0.3green blocks (8x8 pixels) indicate motion and other areas indicate no motion.

  11. Mode Selection from the Binary Matrix • The resolution of an image is HxW pixels. • The size of the binary matrix will be H/8xW/8. • 16x16-pixel block is considered as a video encoding processing unit, thus we will get four sub-blocks. Based on the binary matrix, we will decide which mode it would be for ME&MC.

  12. Mode Selection from the Binary Matrix

  13. (a)&(b)proposed technique (c)&(d)H.264 cyan,green, blue, and red color for 16x16, 16x8, 8x16, and 8x8 and others respectively.

  14. Computational Complexity • Full search motion estimation using d width search length. • H.264 kH(3N2(2d+1)2) , kH:average modes per MB • Proposed technique kP(3N2(2d+1)2+5.25N2) • (kH-kP)/kH : result half number modes per MB at middle range of bit rates.

  15. Simulation results

  16. Conclusion & Future Work • We proposed a video coding technique using phase correlation information to select motion estimation and compensation modes, and reduces around 50% computational time without losing any image quality compared to the H.264. • In furture search, using phase correlation to generate motion vector and seeing the effect of threshold on different bit rates is necessary.

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