1 / 16

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.

kirsi
Download Presentation

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

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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

More Related