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Fast Mode Decision Algorithm for the H.264/AVC Scalable Video Coding Extension

Fast Mode Decision Algorithm for the H.264/AVC Scalable Video Coding Extension. Xin Lu, Student Member, IEEE Graham R. Martin, Member, IEEE. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 23, NO. 5, MAY 2013. Outline. Introduction Observations and Analysis

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Fast Mode Decision Algorithm for the H.264/AVC Scalable Video Coding Extension

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  1. Fast Mode Decision Algorithm for the H.264/AVC Scalable Video Coding Extension Xin Lu, Student Member, IEEE Graham R. Martin, Member, IEEE • IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 23, NO. 5, MAY 2013

  2. Outline • Introduction • Observations and Analysis • Proposed methods • Experimental Results

  3. Introduction #1 • 8 modes

  4. Introduction #2 • Three new prediction methods • Interlayer motion prediction • Interlayer residual prediction • Interlayer intra prediction • Two layer • Base layer • Enhancement layer

  5. Observations and Analysis #1 • In the spatial enhancement layer, the reference index of a macroblock is more likely to be the same as that of the corresponding block in the base layer.

  6. Observations and Analysis #2 • Analyze the probability of macroblocks in the enhancement layer being encoded as MODE−SKIP when the mode of the colocatedmacroblock in the base layer is also MODE−SKIP.

  7. Observations and Analysis #3

  8. Observations and Analysis #4 • There is also a significant dependency between neighboring macroblocks in the enhancement layer.

  9. Observations and Analysis #5

  10. Observations and Analysis #6

  11. Flow Chart

  12. Observations and Analysis #7 • The energy distribution property of the DCT coefficients is employed to evaluate the homogeneity of a macroblock.

  13. Observations and Analysis #8 • In a smooth region of an image, the DCT energy generally tends to be concentrated in the low frequency components.

  14. Observations and Analysis #9 • A threshold value of less than optimal makes the prediction accuracy increase, but the computational cost is increased. • A threshold value larger than optimal reduces the computational cost, but the picture quality is degraded.

  15. Observations and Analysis #10

  16. Flow Chart

  17. Observations and Analysis #11 • Not all lower layer up-sampling data is suitable for interlayer prediction, especially when the video sequence contains slow motion and high spatial detail.

  18. Observations and Analysis #12 • MVD (motion vector difference) from the colocatedmacroblockin the base layer is chosen as the measure.

  19. Observations and Analysis #13 • Exclude unnecessary mode candidates as much as possible, thus maximizing the time saving. • Maintain a prediction accuracy as high as that of an exhaustive evaluation, thus minimizing picture quality degradation.

  20. Observations and Analysis #14

  21. Flow Chart

  22. Proposed Methods

  23. Experimental Result #1

  24. Experimental Result #2

  25. Experimental Result #3

  26. Experimental Result #4

  27. Experimental Result #5

  28. Experimental Result #6

  29. Experimental Result #7

  30. Experimental Result #8

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