Transcript Slide 1

M16328 - Results of
Exploration Experiments in 3D Video
Coding, described in w10360,
for Alt Moabit sequence.
Olgierd Stankiewicz
Krzysztof Wegner
Krzysztof Klimaszewski
team supervisor: Marek Domański
Chair of Multimedia Telecommunications and Microelectronics
Poznań University of Technology, Poland
April, 2009, Maui
Outline
EE1 – Depth estimation improvement
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1x1 pixel matching
3x3 block matching
Segmentation
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Very time consuming
Semi-automatic DERS
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Problems with compilation of the software
EE2 – View Synthesis
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Boundary Noise Reduction
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EE1 - setup
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DERS3.0 + VSRS3.0 (no improvements)
Pixel, Half-pixel and quarter-pixel
precision
Camera distances 1-5
Smoothing coefficient 1.0-4.0
Improvements tested
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1x1 pixel matching
3x3 block matching
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EE1: matching, pixel precision
1x1 pixel matching
3x3 block matching
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EE1: matching half-pixel precision
1x1 pixel matching
3x3 block matching
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EE1: matching, quarter-pixel precision
1x1 pixel matching
3x3 block matching
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Conclussions – EE1
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3x3 block matching
is 0.2dB better
than 1x1 pixel matching,
3x3 block matching gain
is lesser
for higher precision modes
(almost no gain for quarter-pel precision)
Temporal consistency
same conclussions as from previous EE
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EE2 - setup
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DERS3.0 + VSRS3.0
Pixel, Half-pixel and quarter-pixel
precision
Camera distances 1-5
Smoothing coefficient 1.0-4.0
Improvements tested
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Boundary Noise Removal
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EE2 - Boundary Noise Removal
The best results without BNR:
3x3 block matching
The best results with BNR
1x1 pixel matching
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Conclussions – EE2
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Boundary Noise Removal (BNR)
improves
boundaries of objects,
but degrades
other regions,
Boundary Noise Removal (BNR) is
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0.5 dB worse (QPel)
1.0 dB worse (Pel)
than regular VSRS3.0
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Subjective improvement?
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No evidence
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Summary
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Final conclussions
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Quarter-pixel precision
is 0.4-0.7dB better
than half-pixel precision
which is 0.3-0.7dB better
than pixel-precision
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(exception: BNR enabled HPel>QPel)
3x3 block matching is better that 1x1 pixel
matching
Boundary Noise Removal is worse that
regulars VSRS
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