- Title
- Depth sequence coding with hierarchical partitioning and spatial-domain quantization
- Creator
- Shahriyar, Shampa; Murshed, Manzur; Ali, Mortuza; Paul, Manoranjan
- Date
- 2020
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/171795
- Identifier
- vital:14397
- Identifier
-
https://doi.org/10.1109/TCSVT.2019.2897403
- Identifier
- ISBN:1051-8215 (ISSN)
- Abstract
- Depth coding in 3D-HEVC deforms object shapes due to block-level edge-approximation and lacks efficient techniques to exploit the statistical redundancy, due to the frame-level clustering tendency in depth data, for higher coding gain at near-lossless quality. This paper presents a standalone mono-view depth sequence coder, which preserves edges implicitly by limiting quantization to the spatial-domain and exploits the frame-level clustering tendency efficiently with a novel binary tree-based decomposition (BTBD) technique. The BTBD can exploit the statistical redundancy in frame-level syntax, motion components, and residuals efficiently with fewer block-level prediction/coding modes and simpler context modeling for context-adaptive arithmetic coding. Compared with the depth coder in 3D-HEVC, the proposed one has achieved significantly lower bitrate at lossless to near-lossless quality range for mono-view coding and rendered superior quality synthetic views from the depth maps, compressed at the same bitrate, and the corresponding texture frames. © 1991-2012 IEEE.
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Relation
- IEEE Transactions on Circuits and Systems for Video Technology Vol. 30, no. 3 (2020), p. 835-849
- Rights
- Copyright @IEEE 2020
- Rights
- Open Access
- Rights
- This metadata is freely available under a CCO license
- Subject
- 0801 Artificial Intelligence and Image Processing; 0906 Electrical and Electronic Engineering; Depth map sequence coding; Hierarchical partitioning; Lossless/near-lossless coding; Multiview extension of high efficiency video coding (3D-HEVC); Multiview video plus depth (MVD); Spatial-domain quantization
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