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Depth Coding Using a Boundary Reconstruction Filter for 3-D Video Systems

Depth Coding Using a Boundary Reconstruction Filter for 3-D Video Systems. Kwan-Jung Oh, Anthony Vetro , Fellow, IEEE, Yo -Sung Ho, Senior Member, IEEE CSVT , MARCH 2011. Outline. Introduciotn Analysis of Depth Coding Depth Boundary Reconstruction Filter Experimental Results.

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Depth Coding Using a Boundary Reconstruction Filter for 3-D Video Systems

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  1. Depth Coding Using a Boundary Reconstruction Filter for 3-D Video Systems Kwan-Jung Oh, Anthony Vetro, Fellow, IEEE, Yo-Sung Ho, Senior Member, IEEE CSVT, MARCH 2011

  2. Outline • Introduciotn • Analysis of Depth Coding • Depth Boundary Reconstruction Filter • Experimental Results

  3. Introduction • Depth coding must consider the rendering quality it is capable of producing at different rates. • 2 main groups of depth coding technique : (depending on the relation with color video coding ) • Joint coding • Independent coding

  4. Analysis of Depth Coding Complex region : detail partitions Flat regions need less rate and have less distortion Flat region : SKIP, Inter/Intra 16×16

  5. Analysis of Depth Coding • Relationship between QP and distortion/rate • Mean squared error • Average coding bits

  6. Analysis of Depth Coding • Even the complex region spends many coding bits, it incurs a large distortion and is sensitive to QP changes. • Even small pixel changes in depth image have a notable effect on rendering quality. • Especially, the changes around the boundaries.

  7. Depth Boundary Reconstruction Filter • Consider 3 measures : • Occurrence frequency 2) Similarity 3) Closeness

  8. Depth Boundary Reconstruction Filter • Test various combinations of the 3 costs • Cost function considering above measurement

  9. Depth Boundary Reconstruction Filter

  10. Depth Boundary Reconstruction Filter before • Advantage • Robust against outliers • Filtering does not create new unrealistic pixel values after

  11. Depth Boundary Reconstruction Filter • Some Gaussian noise still remains after filtering  Apply 3×3bilateral filter to eliminate the remaining errors. • Use the proposed filter as an in-loop filter located right after the deblocking filter.

  12. Depth Boundary Reconstruction Filter-- determination of filter parameters • Assume that the window size and range sigma having the best depth quality would guarantee the best rendering quality. • Find the best parameters by considering depth quality for each slice • Encode the information into the bitstream 6 bits/slice

  13. Experimental Results • Depth Rate & Depth Quality • Method 1 : proposed method without bilateral filter • Method 2 : proposed method with bilateral filter

  14. Experimental Results

  15. Experimental Results • Depth Rate & Rendering Quality

  16. proposed JMVC 3.0 JMVC 3.0 proposed left right

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