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
1x1 pixel matching
3x3 block matching
Segmentation
Very time consuming
Semi-automatic DERS
Problems with compilation of the software
EE2 – View Synthesis
Boundary Noise Reduction
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EE1 - setup
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
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
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
DERS3.0 + VSRS3.0
Pixel, Half-pixel and quarter-pixel
precision
Camera distances 1-5
Smoothing coefficient 1.0-4.0
Improvements tested
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
Boundary Noise Removal (BNR)
improves
boundaries of objects,
but degrades
other regions,
Boundary Noise Removal (BNR) is
0.5 dB worse (QPel)
1.0 dB worse (Pel)
than regular VSRS3.0
Subjective improvement?
No evidence
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Summary
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Final conclussions
Quarter-pixel precision
is 0.4-0.7dB better
than half-pixel precision
which is 0.3-0.7dB better
than pixel-precision
(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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