Depth Sequence Coding with Hierarchical Partitioning and Spatial-domain Quantisation

Shampa Shahriyar, Manzur Murshed, Mortuza Ali, Manoranjan Paul

Research output: Contribution to journalArticle

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 framelevel clustering tendency in depth data, for higher coding gain at near-lossless quality. This paper presents a standalone monoview depth sequence coder, which preserves edges implicitly by limiting quantisation to the spatial-domain and exploits the frame-level clustering tendency efficiently with a novel binary tree based decomposition (BTBD) technique. 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 modelling for context-adaptive arithmetic coding. Compared to 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.
Original languageEnglish
Number of pages15
JournalIEEE Transactions on Circuits and Systems for Video Technology
Publication statusPublished - 27 Feb 2019

Fingerprint

Binary trees
Redundancy
Decomposition
Textures

Grant Number

  • DP130103670

Cite this

@article{a3bd8625293c4436a6ac811ce4b90013,
title = "Depth Sequence Coding with Hierarchical Partitioning and Spatial-domain Quantisation",
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 framelevel clustering tendency in depth data, for higher coding gain at near-lossless quality. This paper presents a standalone monoview depth sequence coder, which preserves edges implicitly by limiting quantisation to the spatial-domain and exploits the frame-level clustering tendency efficiently with a novel binary tree based decomposition (BTBD) technique. 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 modelling for context-adaptive arithmetic coding. Compared to 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.",
keywords = "Video coding, depth coding, Cuboid Coding",
author = "Shampa Shahriyar and Manzur Murshed and Mortuza Ali and Manoranjan Paul",
year = "2019",
month = "2",
day = "27",
language = "English",
journal = "IEEE Transactions on Circuits and Systems for Video Technology",
issn = "1051-8215",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",

}

Depth Sequence Coding with Hierarchical Partitioning and Spatial-domain Quantisation. / Shahriyar, Shampa; Murshed, Manzur; Ali, Mortuza; Paul, Manoranjan.

In: IEEE Transactions on Circuits and Systems for Video Technology, 27.02.2019.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Depth Sequence Coding with Hierarchical Partitioning and Spatial-domain Quantisation

AU - Shahriyar, Shampa

AU - Murshed, Manzur

AU - Ali, Mortuza

AU - Paul, Manoranjan

PY - 2019/2/27

Y1 - 2019/2/27

N2 - 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 framelevel clustering tendency in depth data, for higher coding gain at near-lossless quality. This paper presents a standalone monoview depth sequence coder, which preserves edges implicitly by limiting quantisation to the spatial-domain and exploits the frame-level clustering tendency efficiently with a novel binary tree based decomposition (BTBD) technique. 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 modelling for context-adaptive arithmetic coding. Compared to 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.

AB - 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 framelevel clustering tendency in depth data, for higher coding gain at near-lossless quality. This paper presents a standalone monoview depth sequence coder, which preserves edges implicitly by limiting quantisation to the spatial-domain and exploits the frame-level clustering tendency efficiently with a novel binary tree based decomposition (BTBD) technique. 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 modelling for context-adaptive arithmetic coding. Compared to 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.

KW - Video coding

KW - depth coding

KW - Cuboid Coding

M3 - Article

JO - IEEE Transactions on Circuits and Systems for Video Technology

JF - IEEE Transactions on Circuits and Systems for Video Technology

SN - 1051-8215

ER -