1. 19 Feb, 2015 1 commit
    • Jingning Han's avatar
      Integral projection based motion estimation · ed2dc59c
      Jingning Han authored
      This commit introduces a new block match motion estimation
      using integral projection measurement. The 2-D block and the nearby
      region is projected onto the horizontal and vertical 1-D vectors,
      respectively. It then runs vector match, instead of block match,
      over the two separate 1-D vectors to locate the motion compensated
      reference block.
      
      This process is run per 64x64 block to align the reference before
      choosing partitioning in speed 6. The overall CPU cycle cost due
      to this additional 64x64 block match (SSE2 version) takes around 2%
      at low bit-rate rtc speed 6. When strong motion activities exist in
      the video sequence, it substantially improves the partition
      selection accuracy, thereby achieving better compression performance
      and lower CPU cycles.
      
      The experiments were tested in RTC speed -6 setting:
      cloud 1080p 500 kbps
      17006 b/f, 37.086 dB, 5386 ms ->
      16669 b/f, 37.970 dB, 5085 ms (>0.9dB gain and 6% faster)
      
      pedestrian_area 1080p 500 kbps
      53537 b/f, 36.771 dB, 18706 ms ->
      51897 b/f, 36.792 dB, 18585 ms (4% bit-rate savings)
      
      blue_sky 1080p 500 kbps
      70214 b/f, 33.600 dB, 13979 ms ->
      53885 b/f, 33.645 dB, 10878 ms (30% bit-rate savings, 25% faster)
      
      jimred 400 kbps
      13380 b/f, 36.014 dB, 5723 ms ->
      13377 b/f, 36.087 dB, 5831 ms  (2% bit-rate savings, 2% slower)
      
      Change-Id: Iffdb6ea5b16b77016bfa3dd3904d284168ae649c
      ed2dc59c
  2. 12 Feb, 2015 7 commits
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  4. 10 Feb, 2015 13 commits
  5. 09 Feb, 2015 2 commits
  6. 07 Feb, 2015 2 commits
  7. 06 Feb, 2015 5 commits