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Ai- mei Huang And Truong Nguyen

Motion vector processing using bidirectional frame difference in motion compensated frame interpolation . Ai- mei Huang And Truong Nguyen IEEE, world of Wireless, Mobile and Multimedia Networks . ( WoWMoM ) , 2008. Motion compensated frame interpolation(1/3).

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Ai- mei Huang And Truong Nguyen

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  1. Motion vector processing using bidirectional frame difference in motioncompensated frame interpolation Ai-mei Huang And Truong Nguyen IEEE, world of Wireless, Mobile and Multimedia Networks . (WoWMoM) , 2008

  2. Motion compensated frame interpolation(1/3)

  3. Motion compensated frame interpolation(2/3) • A example

  4. Motion compensated frame interpolation(3/3) • Although the MV is measured reliably in [4] • Still have some potential issues • In Fig 2 and 3 , the moving object is composed of four blocks, {B1,B2,B3,B4} • Fig. 3 shows that even MVs are correctly estimated, the moving object still cannot be reconstructed successfully. • the simplest way to reduce these visual artifacts is to find the best matches bi-directionally by minimizing the difference between bidirectional predictions. [4]A.-M. Huang and T. Nguyen. Motion vector processing based on residual energy information for motion compensated frame interpolation. in Proc. ICIP’06, pages 2721–2724, 2006.

  5. Bidirectional motion vector processing forMCFI(1/2) • Use bidirectional MV processing for the received MVF in the current decoder frame ft+1. • we select the best MV from a set of MV candidates • Vb* , is selected based on the minimum difference between forward and backward predictions.

  6. (2/2) • Eliminate the ghost artifacts • due to unmatched bidirectional predictions • Computation is greatly reduced • Use the integer-pixel frame interpolation • affect MV precision . • modify eq. (4) to allow MVs have small deviation from -1 to 1.

  7. Simulations • Compare our method with direct MCFI, and vector median filter (VMF). • Test sequence • QVGA size: FORMULA 1, TABLE, and STEFAN • CIF size: FOREMAN, FORMULA 1, FAST FOOD, WALK, and SILENT • Encode using H.264 , avg. bitrate: 384kbps • even frames are skipped.

  8. Adopt structure similarity (SSIM) index for quality assessment. • luminance • contrast • Structure

  9. Performance

  10. Conclusions • The motion vector reliability is analyzed and classified. • we examine how the MV precision affect the quality of the interpolated frame in the bidirectional MCFI scheme. • we propose a bidirectional MV processing method by selecting the best MV from neighboring MVs

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