An adaptive fast intra mode decision in HEVC

Zhang, Mengmeng; Zhao, Chuan; Xu, Jizheng

doi:10.1109/icip.2012.6466835

Cited by 53 publications

(28 citation statements)

References 2 publications

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“…In contrast, Refs. [17], [18] do not estimate the gradient direction, but adaptively control the number of candidate modes in the RMD and/or the RDO phases.…”

Section: Review Of Related Workmentioning

confidence: 99%

Fast Mode Decision Technique for HEVC Intra Prediction Based on Reliability Metric for Motion Vectors

Tsutake

Nakano

Yoshida

2016

IEICE Trans. Inf. & Syst.

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SUMMARY This paper proposes a fast mode decision technique for intra prediction of High Efficiency Video Coding (HEVC) based on a reliability metric for motion vectors (RMMV). Since such a decision problem can be regarded as a kind of pattern classification, an efficient classifier is required for the reduction of computation complexity. This paper employs the RMMV as a classifier because the RMMV can efficiently categorize image blocks into flat(uniform), active, and edge blocks, and can estimate the direction of an edge block as well. A local search for angular modes is introduced to further speed up the decision process. An experiment shows the advantage of our technique over other techniques. key words : H.265/HEVC, intra prediction, mode decision, reliability metric, coding efficiency, computational complexity

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“…In contrast, Refs. [17], [18] do not estimate the gradient direction, but adaptively control the number of candidate modes in the RMD and/or the RDO phases.…”

Section: Review Of Related Workmentioning

confidence: 99%

Fast Mode Decision Technique for HEVC Intra Prediction Based on Reliability Metric for Motion Vectors

Tsutake

Nakano

Yoshida

2016

IEICE Trans. Inf. & Syst.

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“…In [18], Shen et al proposed an early determination of CU size decision with adaptive thresholds developed based on the texture homogeneity. For intra coding, Zhang et al analyzed the relations between the texture characteristics of a block and its best coding mode, and developed an adaptive strategy for fast mode decision [19]. Luo et al proposed a fast intra CU size decision scheme based on the keypoint detection [20].…”

Section: Related Workmentioning

confidence: 99%

“…Moreover, the gradient information which characterizes the complexity of local region is employed as another important feature to infer the prediction error. Due to the fact that gradient magnitude can successfully reflect the variations of local content, it has been widely applied in the complexity control algorithms [17], [19]. In particular, homogeneous region can easily obtain a good prediction, while complex region usually has large prediction error due to imperfect matching.…”

Section: A Analyses Of Prediction Error Based On Motion Divergence Fmentioning

confidence: 99%

Probabilistic Decision Based Block Partitioning for Future Video Coding

Wang

Zhang

et al. 2018

IEEE Trans. on Image Process.

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“…FM is the first mode in candidate list, SM is the second mode in candidate list, DM is the directional mode, and VDM is the vertical direction mode to be the best mode for finding the optimal residual quad-tree (RQT) structure. SATD and RDO are the key operations for selecting the best mode [39]. The SATD operation aim in part to reduce RDO complexity.…”

Section: Rmd Operationmentioning

confidence: 99%

Fast and adaptive mode decision and CU partition early termination algorithm for intra-prediction in HEVC

Zhang

Zhai

Liu

2017

J Image Video Proc.

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High Efficiency Video Coding (HEVC or H.265), the latest international video coding standard, displays a 50% bit rate reduction with nearly equal quality and dramatically higher coding complexity compared with H.264. Unlike other fast algorithms, we first propose an algorithm that combines the CU coding bits with the reduction of unnecessary intra-prediction modes to decrease computational complexity. In this study, we first analyzed the statistical relationship between the best mode and the costs calculated through Rough Mode Decision (RMD) process and proposed an effective mode decision algorithm in intra-mode prediction process. We alleviated the computation difficulty by carrying out the RMD process in two stages, reducing 35 modes down to 11 modes in the first RMD process stage, and adding modes adjacent to the most promising modes selected during the first stage into the second RMD stage. After these two stages, we had two or three modes ready to be used in the rate distortion operation (RDO) process instead of the three or eight in the original HEVC process, which significantly reduced the number of unnecessary candidate modes in the RDO process. We then used the coding bits of the current coding unit (CU) as the main basis for judging its complexity and proposed an early termination method for CU partition based on the number of coding bits of the current CU. Experimental results show that the proposed fast algorithm provides an average time reduction rate of 53% compared to the reference HM-16.12, with only 1.7% Bjontegaard delta rate increase, which is acceptable for Rate-Distortion performance.

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An adaptive fast intra mode decision in HEVC

Cited by 53 publications

References 2 publications

Fast Mode Decision Technique for HEVC Intra Prediction Based on Reliability Metric for Motion Vectors

Fast Mode Decision Technique for HEVC Intra Prediction Based on Reliability Metric for Motion Vectors

Probabilistic Decision Based Block Partitioning for Future Video Coding

Fast and adaptive mode decision and CU partition early termination algorithm for intra-prediction in HEVC

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