Fast intra mode decision algorithm based on texture orientation detection in HEVC

Ruiz, Damian; Fernández–Escribano, Gerardo; Martínez, José Luis; Cuenca, Pedro

doi:10.1016/j.image.2016.03.002

Cited by 34 publications

(17 citation statements)

References 32 publications

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“…Th is set as the splitting mode selection threshold. Generally, the CU texture direction predefines four sets of slope texture directions (±1/4, ±1/2, ±2, ±4), and then matches the calculated texture values with these four sets of texture directions [32]. We only need to judge whether the texture is horizontal or vertical, so we will use the texture directions with slopes of ±1/4 and ±4.…”

Section: Sadmentioning

confidence: 99%

Fast CU Partition Decision Method Based on Texture Characteristics for H.266/VVC

et al. 2020

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Section: Sadmentioning

confidence: 99%

Fast CU Partition Decision Method Based on Texture Characteristics for H.266/VVC

et al. 2020

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“…Many works have proposed different methods for reducing the complexity of HEVC and H.264 intra coding. These methods propose decreasing the number of modes processed by RDO (mode decision) [8]- [17], avoiding exhaustive search to find the optimal CU sizes inside a CTU (fast CU size decision) [18]- [23], pruning the transform tree to speed up the encoding process (transform tree optimization), or a combination of these techniques [24]- [33]. Since we are proposing a mode decision approach, in this review section, we focus on this category in order to include major state-of-the-art works which aim at decreasing the number of modes to be processed by RDO.…”

Section: Related Workmentioning

confidence: 99%

“…In [8], a novel algorithm is presented based on the orientation detection which uses the local directional variance along some predefined lines. Based on this analysis, orientations with the lowest directional variances are considered as dominant orientations, and the number of intra mode candidates to be further processed by RDO is reduced accordingly.…”

Section: Related Workmentioning

confidence: 99%

Fast HEVC Intra Mode Decision Based on RDO Cost Prediction

Jamali

Coulombe

2019

IEEE Trans. on Broadcast.

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High efficiency video coding (HEVC) increases the number of intra coding modes to 35 to provide higher coding efficiency than previous video coding standards. This results in an increased encoder complexity, since there are more modes to be processed by the high resource-demanding rate-distortion optimization (RDO). In this paper, we propose a novel method to reduce the HEVC intra mode decision computational complexity and encoding time. This method is based on the prediction of the RDO cost of intra modes from a low-complexity sum of absolute transformed differences-based cost. By predicting the RDO cost, we are able to exclude non-promising modes from further processing and thereby save substantial computations. Also, a gradient-based method, using the Prewitt operator, is proposed to eliminate the non-relevant directional modes from the list of candidates. For even more complexity reduction, a mode classification is proposed to adaptively reduce chroma intra modes based on block texture. Experimental results show that we achieve a 47.3% encoding time reduction on average with a negligible quality loss of 0.062 dB for the Bjøntegaard delta peak signal-to-noise ratio when we compare our method to the HEVC test model 15.0. Index Terms-High efficiency video coding (HEVC), H.265, video compression, intra video coding, mode decision.

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“…Hence, considerable data redundancy exists in the horizontal direction, and the optimal angle mode is likely to belong to the horizontal mode [corresponding to angle modes 2 to 18 (these numbers correspond to the index of the angle prediction mode)]. In addition, the optimal mode of a large-sized PU [24] is typically fixed at the predict mode (such as modes 0, 1, 10, and 26), but the optimal mode of a small-sized PU changes considerably.…”

Section: Intra Mode Fast Decisionmentioning

confidence: 99%

Fast Algorithm for 360-degree Videos Based on the Prediction of Cu Depth Range and Fast Mode Decision

2019

KSII TIIS

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Spherical videos, which are also called 360-degree videos, have become increasingly popular due to the rapid development of virtual reality technology. However, the large amount of data in such videos is a huge challenge for existing transmission system. To use the existing encode framework, it should be converted into a 2D image plane by using a specific projection format, e.g. the equi-rectangular projection (ERP) format. The existing high-efficiency video coding standard (HEVC) can effectively compress video content, but its enormous computational complexity makes the time spent on compressing high-frame-rate and high-resolution 360-degree videos disproportionate to the benefits of compression. Focusing on the ERP format characteristics of 360-degree videos, this work develops a fast decision algorithm for predicting the coding unit depth interval and adaptive mode decision for intra prediction mode. The algorithm makes full use of the video characteristics of the ERP format by dealing with pole and equatorial areas separately. It sets different reference blocks and determination conditions according to the degree of stretching, which can reduce the coding time while ensuring the quality. Compared with the original reference software HM-16.16, the proposed algorithm can reduce time consumption by 39.3% in the all-intra configuration, and the BD-rate increases by only 0.84%.

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Fast intra mode decision algorithm based on texture orientation detection in HEVC

Cited by 34 publications

References 32 publications

Fast CU Partition Decision Method Based on Texture Characteristics for H.266/VVC

Fast CU Partition Decision Method Based on Texture Characteristics for H.266/VVC

Fast HEVC Intra Mode Decision Based on RDO Cost Prediction

Fast Algorithm for 360-degree Videos Based on the Prediction of Cu Depth Range and Fast Mode Decision

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