scholarly journals Fast CU Partition Decision Based on Texture for H.266/VVC

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Qiuwen Zhang ◽  
Tengyao Cui ◽  
Rijian Su
Keyword(s):  
Video Coding ◽  
High Efficiency ◽  
Vertical Direction ◽  
High Efficiency Video Coding ◽  
High Quality ◽  
Time Saving ◽  
Cu Partition ◽  
Quality Video ◽  
Partition Structure ◽  
High Quality Video

With the development of multimedia equipment and the increasing demand for high-quality video applications, the traditional video coding standard, H.265/High Efficiency Video Coding (HEVC), can no longer effectively satisfy the requirements. To promote the development of high-quality video, a new generation video coding standard, H.266/Versatile Video Coding (H.266/VVC), is established, and it is the inheritance and development of H.265/HEVC. It not only retains many mature technologies and methods in HEVC but also adds some new coding tools, such as wide-angle prediction and Multitype Tree (MTT) partition structure. The MTT partition structure brings a more flexible partition method of Coding Unit (CU), but the accompanying increase in computational complexity is unacceptable. In order to ensure an effective balance between coding efficiency and coding quality, a fast CU partition algorithm based on texture is proposed in this paper. First, the texture complexity of the neighboring CU is used as a threshold for evaluating the complexity of the current CU, so as to skip the unpromising depth. Then, the gradient features are extracted to determine whether the Quad-Tree (QT) partition is executed. Finally, the improved Canny operator is used to extract edge features, and the partition mode in the horizontal or vertical direction is excluded. The algorithm was embedded in VTM7.0, and the video sequences with different resolutions were tested under general experimental configuration. Simulation experiment results show that the average time saving of this method reached 50.56% compared with the anchor algorithm. At the same time, the average BDBR is increased by 1.31%.

Adaptable system based on Scalable Video Coding for high-quality video service

2013 ◽  
Vol 39 (3) ◽  
pp. 775-789 ◽  
Author(s):  
Laura Pozueco ◽  
Xabiel García Pañeda ◽  
Roberto García ◽  
David Melendi ◽  
Sergio Cabrero
Keyword(s):  
Video Coding ◽  
Scalable Video Coding ◽  
Scalable Video ◽  
High Quality ◽  
Video Service ◽  
Quality Video ◽  
High Quality Video

scholarly journals H.265 Intra-Picture Prediction Acceleration using Low Complexity Model

2019 ◽  
Vol 8 (11) ◽  
pp. 2939-2944
Keyword(s):  
Video Coding ◽  
High Efficiency ◽  
Low Complexity ◽  
Video Encoding ◽  
High Efficiency Video Coding ◽  
Tree Model ◽  
Time Saving ◽  
Applied Machine Learning ◽  
Additional Burden ◽  
Increasing Demand

H.265 also called High Efficiency Video Coding is the new futuristic international standard proposed by Joint collaboration Team on Video Coding and released in 2013 in the view of constantly increasing demand of video applications. This new standard reduces the bitrate to half as compared to its predecessor H.264 at the expense of huge amount of computational burden on the encoder. In the proposed work we focus on intraprediction phase of video encoding where 33 new angular modes are introduced in addition to DC and Planar mode in order to achieve high quality videos at higher resolutions. We have proposed the use of applied machine learning to HEVC intra prediction to accelerate angular mode decision process. The features used are also low complexity features with minimal computation so as to avoid any additional burden on the encoder. The Decision tree model built is simple yet efficient which is the requirement of the complexity reduction scenario. The proposed method achieves substantial average encoding time saving of 86.59%, with QP values 4,22,27,32 respectively with minimal loss of 0.033 of PSNR and 0.0023 loss in SSIM which makes it suitable for acceptance of High Efficiency Video coding in real time applications

Role of Nanotechnology in Lossless Video Compression Coding

2019 ◽  
Vol 11 (12) ◽  
pp. 1617-1632
Author(s):  
H. Loukil ◽  
M. Abbas ◽  
Ali Algahtani ◽  
A. Kessentini ◽  
P. Muneer ◽  
...  
Keyword(s):  
Video Compression ◽  
High Efficiency ◽  
Infinite Plate ◽  
Von Mises Stress ◽  
International Electrotechnical Commission ◽  
Spatial Coding ◽  
High Quality ◽  
International Telecommunication Union ◽  
Quality Video ◽  
High Quality Video

High-Efficiency Video Coding (HEVC) is a standard that has been developed by a collaboration of the International Telecommunication Union (ITU) with Moving Picture Experts Group of International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC). The standard, by and large, is achieving substantial spatial versatility and enhanced video compression. HEVC is a spatial coding method for video that reduces the size and number of images in it, allowing for great versatility. This allows for new benchmark for creating high-quality video encoders, as well as high-quality video streams while retaining lower bit rates. This article outlines the most recent video compression model identified as the H.26x family, including its most recent standard, H.265, also known as HEVC. In this work, we also propose the possibility of using nanotechnology to increase the efficiency of video compression process with very little loss. We also studied the possibility of using Spherical Piezo Acoustic Transducers instead of the traditional Context-based Adaptive Binary Arithmetic Coding. Finally, a nano-scale transducer was fabricated with a lossless infinite plate and a lossless waveguide, which has the ability to resist fracture due to a low von Mises stress along its surface.

scholarly journals Decision tree accelerated CTU partition algorithm for intra prediction in versatile video coding

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0258890
Author(s):  
Guowei Teng ◽  
Danqi Xiong ◽  
Ran Ma ◽  
Ping An
Keyword(s):  
Decision Tree ◽  
Video Coding ◽  
High Efficiency ◽  
Intra Prediction ◽  
Image Features ◽  
Test Model ◽  
High Efficiency Video Coding ◽  
Partition Structure ◽  
Partition Process ◽  
Coding Unit

Versatile video coding (VVC) achieves enormous improvement over the advanced high efficiency video coding (HEVC) standard due to the adoption of the quadtree with nested multi-type tree (QTMT) partition structure and other coding tools. However, the computational complexity increases dramatically as well. To tackle this problem, we propose a decision tree accelerated coding tree units (CTU) partition algorithm for intra prediction in VVC. Firstly, specially designated image features are extracted to characterize the coding unit (CU) complexity. Then, the trained decision tree is employed to predict the partition results. Finally, based on our newly designed intra prediction framework, the partition process is early terminated or redundant partition modes are screened out. The experimental results show that the proposed algorithm could achieve around 52% encoding time reduction for various test video sequences on average with only 1.75% Bjontegaard delta bit rate increase compared with the reference test model VTM9.0 of VVC.

scholarly journals Novel Intermode Prediction Algorithm for High Efficiency Video Coding Encoder

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Chan-seob Park ◽  
Gwang-Soo Hong ◽  
Byung-Gyu Kim
Keyword(s):  
Video Coding ◽  
High Efficiency ◽  
Rate Distortion ◽  
Experimental Result ◽  
Prediction Algorithm ◽  
Basic Unit ◽  
Test Model ◽  
High Efficiency Video Coding ◽  
Time Saving ◽  
Decision Algorithm

The joint collaborative team on video coding (JCT-VC) is developing the next-generation video coding standard which is called high efficiency video coding (HEVC). In the HEVC, there are three units in block structure: coding unit (CU), prediction unit (PU), and transform unit (TU). The CU is the basic unit of region splitting like macroblock (MB). Each CU performs recursive splitting into four blocks with equal size, starting from the tree block. In this paper, we propose a fast CU depth decision algorithm for HEVC technology to reduce its computational complexity. In2N×2N PU, the proposed method compares the rate-distortion (RD) cost and determines the depth using the compared information. Moreover, in order to speed up the encoding time, the efficient merge SKIP detection method is developed additionally based on the contextual mode information of neighboring CUs. Experimental result shows that the proposed algorithm achieves the average time-saving factor of 44.84% in the random access (RA) at Main profile configuration with the HEVC test model (HM) 10.0 reference software. Compared to HM 10.0 encoder, a small BD-bitrate loss of 0.17% is also observed without significant loss of image quality.

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