Improved Context-Based Adaptive Binary Arithmetic Coding over H.264/AVC for Lossless Depth Map Coding

The depth map, which represents three-dimensional (3D) information, is used to synthesize virtual views in the depth image-based rendering (DIBR) method. Since the quality of synthesized virtual views highly depends on the quality of depth map, we encode the depth map under the lossless coding mode....

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Bibliographic Details
Published in:IEEE signal processing letters Vol. 17; no. 10; pp. 835 - 838
Main Authors: Heo, Jin, Ho, Yo-Sung
Format: Journal Article
Language:English
Published: New York IEEE 01.10.2010
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Arithmetic
Arithmetic coding
Automatic voltage control
CABAC
Coding
depth map
Encoding
H.264/AVC
Image coding
Layout
Lossless
Performance loss
Rendering
Rendering (computer graphics)
Standards development
Statistics
Surface layer
Texture
Three dimensional
Video coding
ISSN:1070-9908, 1558-2361
Online Access:Get full text
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Summary:The depth map, which represents three-dimensional (3D) information, is used to synthesize virtual views in the depth image-based rendering (DIBR) method. Since the quality of synthesized virtual views highly depends on the quality of depth map, we encode the depth map under the lossless coding mode. The original context-based adaptive binary arithmetic coding (CABAC) that was originally designed for lossy texture coding cannot provide the best coding performance for lossless depth map coding due to the statistical differences of residual data in lossy and lossless depth map coding. In this letter, we propose an enhanced CABAC coding mechanism for lossless depth map coding based on the statistics of residual data. Experimental results show that the proposed CABAC method provides approximately 4% bit saving compared to the original CABAC in H.264/AVC.
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ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2010.2059014