- Title
- Improved depth coding for HEVC focusing on depth edge approximation
- Creator
- Podder, Pallab; Paul, Manoranjan; Rahaman, Motiur; Murshed, Manzur
- Date
- 2017
- Type
- Text; Journal article; acceptedVersion
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/166120
- Identifier
- vital:13391
- Identifier
-
https://doi.org/10.1016/j.image.2017.03.017
- Identifier
- ISBN:0923-5965
- Abstract
- The latest High Efficiency Video Coding (HEVC) standard has greatly improved the coding efficiency compared to its predecessor H.264. An important share of which is the adoption of hierarchical block partitioning structures and an extended number of modes. The structure of existing inter-modes is appropriate mainly to handle the rectangular and square aligned motion patterns. However, they could not be suitable for the block partitioning of depth objects having partial foreground motion with irregular edges and background. In such cases, the HEVC reference test model (HM) normally explores finer level block partitioning that requires more bits and encoding time to compensate large residuals. Since motion detection is the underlying criteria for mode selection, in this work, we use the energy concentration ratio feature of phase correlation to capture different types of motion in depth object. For better motion modeling focusing at depth edges, the proposed technique also uses an extra pattern mode comprising a group of templates with various rectangular and non-rectangular object shapes and edges. As the pattern mode could save bits by encoding only the foreground areas and beat all other inter-modes in a block once selected, the proposed technique could improve the rate-distortion performance. It could also reduce encoding time by skipping further branching using the pattern mode and selecting a subset of modes using innovative pre-processing criteria. Experimentally it could save 29% average encoding time and improve 0.10 dB Bjontegaard Delta peak signal-to-noise ratio compared to the HM.
- Publisher
- Elsevier B.V.
- Relation
- Signal Processing: Image Communication Vol. 55, no. (2017), p. 80-92
- Rights
- Copyright © 2017 Elsevier B.V.
- Rights
- Open Access
- Rights
- This metadata is freely available under a CCO license
- Subject
- 0906 Electrical and Electronic Engineering; Depth edge; HEVC; Inter-mode selection; Motion classification; Motion estimation; Pattern mode
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