An Effective CU Size Decision Method for HEVC Encoders

Shen, Liquan; Li, Zhi; Zhang, Xinpeng; Zhao, Wenyun; Zhang, Zhaoyang

doi:10.1109/tmm.2012.2231060

Cited by 369 publications

(184 citation statements)

References 11 publications

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“…HEVC systems increase the computational complexity of previous standards. To mitigate that, recent implementations of HEVC are able to reduce the encoding time while maintaining the coding efficiency, parallelizing among multiple processors [43,44] or skipping some modes [37].…”

Section: Related Workmentioning

confidence: 99%

Depth map compression via 3D region-based representation

Duch

Morros

Ruiz-Hidalgo

2016

Multimed Tools Appl

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In 3D video, view synthesis is used to create new virtual views between encoded camera views. Errors in the coding of the depth maps introduce geometry inconsistencies in synthesized views. In this paper, a new 3D plane representation of the scene is presented which improves the performance of current standard video codecs in the view synthesis domain. Two image segmentation algorithms are proposed for generating a color and depth segmentation. Using both partitions, depth maps are segmented into regions without sharp discontinuities without having to explicitly signal all depth edges. The resulting regions are represented using a planar model in the 3D world scene. This 3D representation allows an efficient encoding while preserving the 3D characteristics of the scene. The 3D planes open up the possibility to code multiview images with a unique representation.

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Section: Related Workmentioning

confidence: 99%

Depth map compression via 3D region-based representation

Duch

Morros

Ruiz-Hidalgo

2016

Multimed Tools Appl

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“…In [30], a Bayesian decision rule is also used in the splitting decision. The splitting decision in [29] is based on skipping some specific depth levels rarely used in the previous frame and neighboring CUs in addition to using termination methods based on motion homogeneity checking, RD cost checking and SKIP mode checking. An early pruning method based on statistics of the prediction residuals is used in [33] to produce significant time gain.…”

Section: Related Workmentioning

confidence: 99%

Inter Prediction Complexity Reduction for HEVC based on Residuals Characteristics

Saurty¹,

Cartigny²,

Krishnaraj³

2016

ijacsa

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Abstract-High Efficiency Video Coding (HEVC) or H.265 is currently the latest standard in video coding. While this new standard promises improved performance over the previous H.264/AVC standard, the complexity has drastically increased due to the various new improved tools added. The splitting of the 64×64 Largest Coding Unit (LCU) into smaller CU sizes forming a quad tree structure involves a significant number of operations and comparisons which imposes a high computational burden on the encoder. In addition, the improved Motion Estimation (ME) techniques used in HEVC inter prediction in order to ensure greater compression also contribute to the high encoding time. In this paper, a set of standard thresholds are identified based on the Mean Square (MS) of the residuals. These thresholds are used to terminate the CU splitting process and to skip some of the inter modes processing. In addition, CUs with large MS values are split at a very early stage. Experimental results show that the proposed method can effectively reduce the encoding time by 62.2% (70.8% for ME) on average, compared to HM 10, yielding a BD-Rate of only 1.14%.

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“…A dominant edge direction for each PU is generated and used to reduce the number of intra modes going to be evaluated. Shen et al [13] have used the spatial correlation between neighbor CUs in order to speed up the CU split decision as well as early terminating the motion estimation. A Bayesian rule-based approach has been proposed in [14].…”

Section: Introductionmentioning

confidence: 99%

Gradient-based pre-processing for intra prediction in High Efficiency Video Coding

BenHajyoussef

Ezzedine

Bouallègue

2017

J Image Video Proc.

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In order to reach higher coding efficiency compared to its predecessor, a state-of-the-art video compression standard, the High Efficiency Video Coding (HEVC), has been designed to rely on many improved coding tools and sophisticated techniques. The new features are achieving significant coding efficiency but at the cost of huge implementation complexity. This complexity has increased the HEVC encoders' need for fast algorithms and hardware friendly implementations. In fact, encoders have to perform the different encoding decisions, overcoming the real-time encoding constraint while taking care of coding efficiency. In this sense, in order to reduce the encoding complexity, HEVC encoders rely on look-ahead mechanisms and pre-processing solutions. In this context, we propose a gradient-based pre-processing stage. We investigate particularly the Prewitt operator used to generate the gradient and we propose necessary approaches that enhance the gradient performance of detecting the HEVC intra modes. We also set different probability scenarios, based on the gradient information, in order to speed up the mode search process. Moreover, we propose a gradient-based estimation of the texture complexity that we use for coding unit decision. Results show that the proposed algorithm achieves a reduction of 42.8% in encoding time with an increase in BD rate of only 1.1%.

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An Effective CU Size Decision Method for HEVC Encoders

Cited by 369 publications

References 11 publications

Depth map compression via 3D region-based representation

Depth map compression via 3D region-based representation

Inter Prediction Complexity Reduction for HEVC based on Residuals Characteristics

Gradient-based pre-processing for intra prediction in High Efficiency Video Coding

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