3D-HEVC depth maps intra prediction complexity analysis

Sanchez, Gustavo; Cataldo, Rodrigo; Fernandes, Ramon; Agostini, Luciano; Marcon, César

doi:10.1109/icecs.2016.7841204

Cited by 13 publications

(19 citation statements)

References 11 publications

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“…Considering that the DMMs uses at least 35.34% of the 3D-HEVC depth maps intraframe encoder time as described in [9], the proposed solution can drastically reduce the encoder complexity, and maintain this complexity over a well-defined range of values. Table II displays the depth time saving of our solution in the three DMMs complexity targets.…”

Section: Resultsmentioning

confidence: 99%

“…However, as a drawback of enhancing synthesized views quality, DMM modes cause a significant increase of 3D-HEVC encoder complexity. Evaluations using the Common Test Conditions (CTC) under the all intra-frame configuration [8] showed that depth maps complexity is 5.8 times higher than texture coding and the DMMs processing use 35.34% of the computation time of the 3D-HEVC depth maps encoder [9]. Therefore, new techniques have been proposed to reduce the complexity of the depth maps intra-frame prediction.…”

Section: Introductionmentioning

confidence: 99%

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Depth modeling modes complexity control system for the 3D-HEVC video encoder

Sanchez

Saldanha

Agostini

et al. 2017

2017 25th European Signal Processing Conference (EUSIPCO)

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Abstract-This paper presents a complexity control system for depth maps intra-frame prediction of the 3D-High Efficiency Video Coding (3D-HEVC) standard. The proposed system uses a Proportional-Integral-Derivative controller over the Simplified Edge Detector heuristic to skip the Depth Modeling Modes (DMMs) evaluation dynamically according to a defined target rate. When analyzing the proposed system under Common Test Conditions, the proposed controller stabilizes the system to the target rate (i.e., the percentage of DMMs evaluation) after encoding a few frames, with negligible encoding efficiency impacts. The BD-rate degradation varies from 0.50% to 0.20%, on average, when the target rates vary from 5% to 15%. These target rates imply in an aggressive reduction in the DMMs evaluations, skipping the DMMs from 85% to 95% of the cases.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Depth modeling modes complexity control system for the 3D-HEVC video encoder

Sanchez

Saldanha

Agostini

et al. 2017

2017 25th European Signal Processing Conference (EUSIPCO)

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“…According to the analysis in [37], the encoding process of a CU depth of 0 only occupies 11.4% of the depth map coding time, as labeled in Fig. 14.…”

Section: Fast Cu Early Termination Algorithm With Rd-cost Limitationmentioning

confidence: 99%

Fast 3D-HEVC Depth Intra Coding Based on Boundary Continuity

et al. 2021

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The encoding format of the 3D extension of high efficiency video coding (3D-HEVC) consists of a multiview color texture and an associated depth map. Because of the unique characteristics of the depth map, advanced coding techniques are designed for depth map coding at the expense of computational complexity. In this paper, fast algorithms are conceived to accelerate the intra coding time of the depth map based on boundary continuity. First, the proposed fast prediction unit (PU) mode decision reduces the number of conventional intra prediction modes based on calculating the total sum of squares (TSS) of the PU boundaries. Second, the proposed fast depth modeling mode (DMM) decision makes use of the variances of the boundary pixels to determine the execution of the DMM. Third, the proposed coding unit (CU) early termination algorithm decides whether to further split the current CU by utilizing the thresholds of the TSS and the rate-distortion cost (RD-cost). The experimental results show that the proposed algorithm provides better performance in terms of coding speed and bitrate than the algorithm in previous work. The coding time of the depth map is reduced by 56.08%, while the Bjøntegaard delta bitrate (BD-BR) is only increased by 0.32% for the synthesis view.

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“…3(b). The evaluation of DMMs is a complex computational task for the 3D-HEVC encoder [4], especially DMM-1, where the best angle of the line that will partition the block must be chosen because there are several possible wedgelets for a depth block.…”

Section: Depth Modeling Modes (Dmms)mentioning

confidence: 99%

“…However, the encoding computational burden is significantly increased, especially when using DMM-1. As demonstrated in [4], for certain values of QP (Quantization Parameter) and block size, DMM-1 can represent up to 56% of the total execution time. Clearly, the DMM evaluation is a costly task; thus, avoiding unnecessary evaluations can save the 3D-HEVC encoding time.…”

Section: Introductionmentioning

confidence: 99%

Fast Intra Mode Decision for 3D-HEVC Depth Map Coding using Decision Trees

Moura

Saldanha

Sanchez

et al. 2020

2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS)

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This paper presents a fast intra mode decision for depth map coding on 3D-High Efficiency Video Coding (3D-HEVC) based on decision trees. The proposed solution uses data mining and machine learning to correlate the encoder context attributes and build a set of decision trees. Each decision tree defines if a depth map block must be or not be evaluated by the Depth Modeling Modes (DMMs), considering the encoding context. The decision trees were trained using data extracted from the 3D-HEVC Test Model (3D-HTM) under all-intra encoder configuration. The proposed solution was evaluated according to the Common Test Conditions (CTC), reducing 50.2% the execution time of the depth map coding, and impacting only 0.07% in the Bjontegaard Delta BitRate (BDBR) of the synthesized views.

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3D-HEVC depth maps intra prediction complexity analysis

Cited by 13 publications

References 11 publications

Depth modeling modes complexity control system for the 3D-HEVC video encoder

Depth modeling modes complexity control system for the 3D-HEVC video encoder

Fast 3D-HEVC Depth Intra Coding Based on Boundary Continuity

Fast Intra Mode Decision for 3D-HEVC Depth Map Coding using Decision Trees

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