MRF-Based Fast HEVC Inter CU Decision With the Variance of Absolute Differences

Xiong, Jian; Li, Hongliang; Meng, Fanman; Zhu, Shuyuan; Wu, Qingbo; Zeng, Bing

doi:10.1109/tmm.2014.2356795

Cited by 66 publications

(26 citation statements)

References 20 publications

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“…With the purpose of speeding up the ratedistortion optimization (RDO) in both the frame and the CU levels, Leng et al employed the depth information of the neighbouring CTUs and the co-located CTU of the previous frame [26]. Recently, a Markov random field (MRF) based fast CU decision algorithm was proposed in [27], [28]. The MRF can efficiently employ the neighbouring information in CU partitioning decision.…”

Section: Related Workmentioning

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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Section: Related Workmentioning

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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“…As mentioned by [32][33][34], it is just an MV that distinguishes the current CU and its co-located CU in previous coded frame. Accordingly, the relationship between them can be modeled as I(p + mv, t − 1) = I(p, t), where I(p, t) denotes the value of pixel in p position at t time and mv represents motion vector.…”

Section: Amp Decision Skipping Algorithmmentioning

confidence: 99%

Efficient AMP decision and search range adjustment algorithm for HEVC

Zhang

2017

J Image Video Proc.

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The advanced video encoder High Efficiency Video Coding (HEVC) utilizes several novel coding tools so that it can obtain improvement in coding performance for a huge number of video data. However, these tools increase the computational complexity greatly specially in the interprediction phase. Therefore, optimization for interprediction plays an important role in accelerating the whole HEVC encoding process. To this end, this paper proposes an efficient prediction algorithm for improving HEVC intercoding. According to the spatial correlation between the current block and its co-located block in the previous frame, we design a fast decision method so as to perform asymmetric partitions directly without the complicated calculation. Furthermore, based on the motion degree function we defined, the motion search range of motion estimation can be adaptively adjusted. Experimental results demonstrate that the proposed algorithm is able to save coding time significantly both under RandomAccess and Lowdelay P configurations, with a negligible drawback in term of Bjontegaard delta-rate increase.

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“…The prior probability function p( f 1 |w C ) is modeled using a discrete Bernoulli (φ) distribution. The prior probability function p( f 2 |w C ) obeys the Gaussian distribution [4]. Thus, the prior probability of p( f 2 |w C ) are defined as:…”

Section: Copyright C 2016 the Institute Of Electronics Information Amentioning

confidence: 99%

“…If the early SKIP condition is satisfied, the current depth CU mode selection is skipped, and go to the next depth of the CU. Xiong et al proposed two fast CU decision methods to speed up the inter encoding [4], [5], and these methods are based on the Markov Random Fields and pyramid motion divergence, respectively. However, the two methods can reduce about [7].…”

Section: Introductionmentioning

confidence: 99%

Fast Coding Unit Size Decision Based on Probabilistic Graphical Model in High Efficiency Video Coding Inter Prediction

Jiang

Song

Shi

et al. 2016

IEICE Trans. Inf. & Syst.

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SUMMARYIn this work, a high efficiency coding unit (CU) size decision algorithm is proposed for high efficiency video coding (HEVC) inter coding. The CU splitting or non-splitting is modeled as a binary classification problem based on probability graphical model (PGM). This method incorporates two sub-methods: CU size termination decision and CU size skip decision. This method focuses on the trade-off between encoding efficiency and encoding complexity, and it has a good performance. Particularly in the high resolution application, simulation results demonstrate that the proposed algorithm can reduce encoding time by 53.62%-57.54%, while the increased BD-rate are only 1.27%-1.65%, compared to the HEVC software model.

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MRF-Based Fast HEVC Inter CU Decision With the Variance of Absolute Differences

Cited by 66 publications

References 20 publications

Probabilistic Decision Based Block Partitioning for Future Video Coding

Probabilistic Decision Based Block Partitioning for Future Video Coding

Efficient AMP decision and search range adjustment algorithm for HEVC

Fast Coding Unit Size Decision Based on Probabilistic Graphical Model in High Efficiency Video Coding Inter Prediction

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