Early TU decision method for fast video encoding in high efficiency video coding

2012 ◽  
Vol 48 (12) ◽  
pp. 689 ◽  
Author(s):  
Kiho Choi ◽  
Euee S. Jang
Keyword(s):  
Video Coding ◽  
High Efficiency ◽  
Video Encoding ◽  
High Efficiency Video Coding ◽  
Decision Method

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

scholarly journals Steganography algorithm based on modified EMD coded PU partition modes for HEVC videos

2021 ◽  
Author(s):  
Zhenzhen Zhang ◽  
Zhaohong Li ◽  
Jindou Liu ◽  
Huanma Yan ◽  
Lifang Yu
Keyword(s):  
Video Coding ◽  
High Efficiency ◽  
State Of The Art ◽  
Visual Quality ◽  
Video Encoding ◽  
Embedding Capacity ◽  
High Efficiency Video Coding ◽  
Exploiting Modification Direction ◽  
The One ◽  
Notational System

Abstract As High Efficiency Video Coding (HEVC) is a worldwide popular video coding standard, the steganography of HEVC videos has gained more and more attention. Prediction Unit (PU) is one of the most important innovative modules of HEVC, thus PU partition mode based steganography is becoming a novel branch of HEVC steganography. However, the embedding capacity of this kind of steganography is limited by the types of PU partition modes. To solve the problem, modified Exploiting Modification Direction (EMD) coded PU partition modes based steganography is proposed in this paper, which can hide a secret digit in a ( [[EQUATION]] )-ary notational system in a pair of PU partition modes and thus enlarging the capacity. Furthermore, two mapping patterns for PU partition modes are analyzed and the one that performs the better is selected as the final mapping pattern. Firstly, 8×8 and 16×16 sized PU partition modes are recorded according to the optimal mapping pattern in the video encoding process. Then PU partition modes are modified by using the proposed method to satisfy the requirement of secret information. Finally, the stego video can be obtained by re-encoding the video with the modified PU partition modes. Experimental results show that the embedding capacity can be significantly enlarged, and compared with the state-of-the-art work, the proposed method has much larger capacity while keeping high visual quality.

scholarly journals Steganography algorithm based on modified EMD coded PU partition modes for HEVC videos

2020 ◽  
Author(s):  
Zhenzhen Zhang ◽  
Zhaohong Li ◽  
Jindou Liu ◽  
Huanma Yan
Keyword(s):  
Video Coding ◽  
High Efficiency ◽  
State Of The Art ◽  
Visual Quality ◽  
Video Encoding ◽  
Embedding Capacity ◽  
High Efficiency Video Coding ◽  
Exploiting Modification Direction ◽  
The One ◽  
Notational System

Abstract As High Efficiency Video Coding (HEVC) is a worldwide popular video coding standard, the steganography of HEVC videos has gained more and more attention. Prediction Unit (PU) is one of the most important innovative modules of HEVC, thus PU partition mode based steganography is becoming a novel branch of HEVC steganography. However, the embedding capacity of this kind of steganography is limited by the types of PU partition modes. To solve the problem, modified Exploiting Modification Direction (EMD) coded PU partition modes based steganography is proposed in this paper, which can hide a secret digit in a (\({2^{n+x}} - 1\))-ary notational system in a pair of PU partition modes and thus enlarging the capacity. Furthermore, two mapping patterns for PU partition modes are analyzed and the one that performs the better is selected as the final mapping pattern. Firstly, 8 × 8 and 16 × 16 sized PU partition modes are recorded according to the optimal mapping pattern in the video encoding process. Then PU partition modes are modified by using the proposed method to satisfy the requirement of secret information. Finally, the stego video can be obtained by re-encoding the video with the modified PU partition modes. Experimental results show that the embedding capacity can be significantly enlarged, and compared with the state-of-the-art work, the proposed method has much larger capacity while keeping high visual quality.

scholarly journals Toward Content-Aware Video Partitioning Methods for Distributed HEVC Video Encoding

2015 ◽  
Vol 5 (3) ◽  
pp. 569
Author(s):  
Myunghoon Jeon ◽  
Byoung-Dai Lee
Keyword(s):  
Cloud Computing ◽  
Video Coding ◽  
High Efficiency ◽  
Video Encoding ◽  
High Efficiency Video Coding ◽  
Distributed Resources ◽  
Partitioning Methods ◽  
Content Aware

Recently, cloud computing has emerged as a potential platform for distributed video encoding due to its advantages in terms of costs as well as performance. For distributed video encoding, the input video must be partitioned into several segments, each of which is processed over distributed resources. This paper describes the effect of different video partitioning schemes on overall encoding performance in the distributed encoding of High-Efficiency Video Coding (HEVC). In addition, we explored performances of video partitioning schemes on the basis of the types of the content to be encoded

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