a fast and efficient multi-view depth image coding method based on temporal and inter- view...
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![Page 1: A Fast and Efficient Multi-View Depth Image Coding Method Based on Temporal and Inter- View Correlations of Texture Images Jin Yong Lee Ho Chen Wey Du](https://reader030.vdocuments.us/reader030/viewer/2022033105/56649d2e5503460f94a0513a/html5/thumbnails/1.jpg)
A Fast and Efficient Multi-View Depth Image Coding Method Based on Temporal and Inter-View Correlations of Texture
Images
Jin Yong Lee
Ho Chen Wey
Du Sik Park
IEEE Transactions on CSVT 2011
![Page 2: A Fast and Efficient Multi-View Depth Image Coding Method Based on Temporal and Inter- View Correlations of Texture Images Jin Yong Lee Ho Chen Wey Du](https://reader030.vdocuments.us/reader030/viewer/2022033105/56649d2e5503460f94a0513a/html5/thumbnails/2.jpg)
Outline
IntroductionProposed Method
Temporal CorrelationTexture and Depth View SynthesisInter-View Correlation
EvaluationsCoding PerformanceEncoding Complexity AnalysisSubjective Quality Assessment
![Page 3: A Fast and Efficient Multi-View Depth Image Coding Method Based on Temporal and Inter- View Correlations of Texture Images Jin Yong Lee Ho Chen Wey Du](https://reader030.vdocuments.us/reader030/viewer/2022033105/56649d2e5503460f94a0513a/html5/thumbnails/3.jpg)
Introduction
Encode video information of each view individually with the H.264/AVC
A multi-view video coding structure with hierarchical B pictures
Multi-view video plus depth
![Page 4: A Fast and Efficient Multi-View Depth Image Coding Method Based on Temporal and Inter- View Correlations of Texture Images Jin Yong Lee Ho Chen Wey Du](https://reader030.vdocuments.us/reader030/viewer/2022033105/56649d2e5503460f94a0513a/html5/thumbnails/4.jpg)
Outline
IntroductionProposed Method
Temporal CorrelationTexture and Depth View SynthesisInter-View Correlation
EvaluationsCoding PerformanceEncoding Complexity AnalysisSubjective Quality Assessment
![Page 5: A Fast and Efficient Multi-View Depth Image Coding Method Based on Temporal and Inter- View Correlations of Texture Images Jin Yong Lee Ho Chen Wey Du](https://reader030.vdocuments.us/reader030/viewer/2022033105/56649d2e5503460f94a0513a/html5/thumbnails/5.jpg)
Temporal Correlation
Stationary regions have similar pixel values for successive frames
Use sum of the squared difference(SSD) to measure the temporal correlation
If SSD => Strongly Correlated Texture
images
Depth images
I P
![Page 6: A Fast and Efficient Multi-View Depth Image Coding Method Based on Temporal and Inter- View Correlations of Texture Images Jin Yong Lee Ho Chen Wey Du](https://reader030.vdocuments.us/reader030/viewer/2022033105/56649d2e5503460f94a0513a/html5/thumbnails/6.jpg)
Temporal Correlation
Texture images
Depth images
P IB
![Page 7: A Fast and Efficient Multi-View Depth Image Coding Method Based on Temporal and Inter- View Correlations of Texture Images Jin Yong Lee Ho Chen Wey Du](https://reader030.vdocuments.us/reader030/viewer/2022033105/56649d2e5503460f94a0513a/html5/thumbnails/7.jpg)
Temporal Correlation
![Page 8: A Fast and Efficient Multi-View Depth Image Coding Method Based on Temporal and Inter- View Correlations of Texture Images Jin Yong Lee Ho Chen Wey Du](https://reader030.vdocuments.us/reader030/viewer/2022033105/56649d2e5503460f94a0513a/html5/thumbnails/8.jpg)
Outline
IntroductionProposed Method
Temporal CorrelationTexture and Depth View SynthesisInter-View Correlation
EvaluationsCoding PerformanceEncoding Complexity AnalysisSubjective Quality Assessment
![Page 9: A Fast and Efficient Multi-View Depth Image Coding Method Based on Temporal and Inter- View Correlations of Texture Images Jin Yong Lee Ho Chen Wey Du](https://reader030.vdocuments.us/reader030/viewer/2022033105/56649d2e5503460f94a0513a/html5/thumbnails/9.jpg)
Texture and Depth View Synthesis
Synthesis the next depth view by 3D image warping
Translate gray values into real depth
Project the original points into 3D world
Reproject these 3D points into the image plane of
neighboring view
Hole-filling
![Page 10: A Fast and Efficient Multi-View Depth Image Coding Method Based on Temporal and Inter- View Correlations of Texture Images Jin Yong Lee Ho Chen Wey Du](https://reader030.vdocuments.us/reader030/viewer/2022033105/56649d2e5503460f94a0513a/html5/thumbnails/10.jpg)
Texture and Depth View Synthesis
The pixel position(x,y) at the reference frame can be projected into a 3D point (u,v,w)
The corresponding pixel location of the virtual image
[ 𝑢𝑣𝑤]=𝑅𝑟×𝐴𝑟− 1×[𝑥𝑦1 ]×𝑍𝑟 (𝑥 , 𝑦 )+𝑇 𝑟
()
[𝑥′
𝑦 ′
𝑧 ′ ]=𝐴𝑡×𝑅𝑡− 1×{[ 𝑢𝑣𝑤]−𝑇 𝑡}
Translate gray values into real depth
Project the original points into 3D world
Reproject these 3D points into the image plane of
neighboring view
Hole-filling
![Page 11: A Fast and Efficient Multi-View Depth Image Coding Method Based on Temporal and Inter- View Correlations of Texture Images Jin Yong Lee Ho Chen Wey Du](https://reader030.vdocuments.us/reader030/viewer/2022033105/56649d2e5503460f94a0513a/html5/thumbnails/11.jpg)
Texture and Depth View Synthesis
Some pixels in the synthesized image are missing or undefinedOcclusionPixel position quantization
Only consider the neighboring pixelsaround the holeIf a view is warped to the right view
position, the hole is filled with its left pixel
Translate gray values into real depth
Project the original points into 3D world
Reproject these 3D points into the image plane of
neighboring view
Hole-filling
![Page 12: A Fast and Efficient Multi-View Depth Image Coding Method Based on Temporal and Inter- View Correlations of Texture Images Jin Yong Lee Ho Chen Wey Du](https://reader030.vdocuments.us/reader030/viewer/2022033105/56649d2e5503460f94a0513a/html5/thumbnails/12.jpg)
Texture and Depth View Synthesis
![Page 13: A Fast and Efficient Multi-View Depth Image Coding Method Based on Temporal and Inter- View Correlations of Texture Images Jin Yong Lee Ho Chen Wey Du](https://reader030.vdocuments.us/reader030/viewer/2022033105/56649d2e5503460f94a0513a/html5/thumbnails/13.jpg)
Outline
IntroductionProposed Method
Temporal CorrelationTexture and Depth View SynthesisInter-View Correlation
EvaluationsCoding PerformanceEncoding Complexity AnalysisSubjective Quality Assessment
![Page 14: A Fast and Efficient Multi-View Depth Image Coding Method Based on Temporal and Inter- View Correlations of Texture Images Jin Yong Lee Ho Chen Wey Du](https://reader030.vdocuments.us/reader030/viewer/2022033105/56649d2e5503460f94a0513a/html5/thumbnails/14.jpg)
Inter-View Correlation
1. A depth image of I-view(), a texture image of I-view() and P-view() are encoded
2. Synthesized a virtual texture image from the reconstructed and
3. If SSD => skip the block
Texture images
Depth images
I-view P-view
Synthesized Image
texturedepth
![Page 15: A Fast and Efficient Multi-View Depth Image Coding Method Based on Temporal and Inter- View Correlations of Texture Images Jin Yong Lee Ho Chen Wey Du](https://reader030.vdocuments.us/reader030/viewer/2022033105/56649d2e5503460f94a0513a/html5/thumbnails/15.jpg)
Inter-View Correlation
![Page 16: A Fast and Efficient Multi-View Depth Image Coding Method Based on Temporal and Inter- View Correlations of Texture Images Jin Yong Lee Ho Chen Wey Du](https://reader030.vdocuments.us/reader030/viewer/2022033105/56649d2e5503460f94a0513a/html5/thumbnails/16.jpg)
Evaluations
Coding performanceEncoding complexity analysisSubjective Quality Assessment
![Page 17: A Fast and Efficient Multi-View Depth Image Coding Method Based on Temporal and Inter- View Correlations of Texture Images Jin Yong Lee Ho Chen Wey Du](https://reader030.vdocuments.us/reader030/viewer/2022033105/56649d2e5503460f94a0513a/html5/thumbnails/17.jpg)
Coding performance
Simulation conditions
Test sequences
![Page 18: A Fast and Efficient Multi-View Depth Image Coding Method Based on Temporal and Inter- View Correlations of Texture Images Jin Yong Lee Ho Chen Wey Du](https://reader030.vdocuments.us/reader030/viewer/2022033105/56649d2e5503460f94a0513a/html5/thumbnails/18.jpg)
Coding performance
Balloons
Kendo
Book Arrival
Newspaper
Champagnetower
Pantomime
BDBR : Average bit-rate difference in % over the whole range of PSNRBDPR : Average PSNR difference in dB over the whole range of bit-rates
![Page 19: A Fast and Efficient Multi-View Depth Image Coding Method Based on Temporal and Inter- View Correlations of Texture Images Jin Yong Lee Ho Chen Wey Du](https://reader030.vdocuments.us/reader030/viewer/2022033105/56649d2e5503460f94a0513a/html5/thumbnails/19.jpg)
Coding Performance
Balloons
Kendo Book Arrival
Newspaper Champane tower Pantomime
![Page 20: A Fast and Efficient Multi-View Depth Image Coding Method Based on Temporal and Inter- View Correlations of Texture Images Jin Yong Lee Ho Chen Wey Du](https://reader030.vdocuments.us/reader030/viewer/2022033105/56649d2e5503460f94a0513a/html5/thumbnails/20.jpg)
Encoding Complexity Analysis
ETR and RM indicate the total encoding time reduction and the reduced number of the modes performing the RD optimization in percentage
SB and VS represent the proportion of skipped macro blocks in depth image and the time required for the view synthesis process
![Page 21: A Fast and Efficient Multi-View Depth Image Coding Method Based on Temporal and Inter- View Correlations of Texture Images Jin Yong Lee Ho Chen Wey Du](https://reader030.vdocuments.us/reader030/viewer/2022033105/56649d2e5503460f94a0513a/html5/thumbnails/21.jpg)
Encoding Complexity Analysis
![Page 22: A Fast and Efficient Multi-View Depth Image Coding Method Based on Temporal and Inter- View Correlations of Texture Images Jin Yong Lee Ho Chen Wey Du](https://reader030.vdocuments.us/reader030/viewer/2022033105/56649d2e5503460f94a0513a/html5/thumbnails/22.jpg)
Subjective Quality Assessment
15 professional subjectsTwo stereoscopic view pairs were rendered using
the depth images decoded by the original method and the proposed method respectively
![Page 23: A Fast and Efficient Multi-View Depth Image Coding Method Based on Temporal and Inter- View Correlations of Texture Images Jin Yong Lee Ho Chen Wey Du](https://reader030.vdocuments.us/reader030/viewer/2022033105/56649d2e5503460f94a0513a/html5/thumbnails/23.jpg)
Subjective Quality Assessment
Y-axis indicates a differential score that subtract a score of the original method from the proposed method