scholarly journals Quality-Oriented Perceptual HEVC Based on the Spatiotemporal Saliency Detection Model

Entropy ◽  
2019 ◽  
Vol 21 (2) ◽  
pp. 165 ◽  
Author(s):  
Xiantao Jiang ◽  
Tian Song ◽  
Daqi Zhu ◽  
Takafumi Katayama ◽  
Lu Wang
Keyword(s):  
Video Coding ◽  
High Efficiency ◽  
Saliency Detection ◽  
Saliency Map ◽  
High Efficiency Video Coding ◽  
High Definition ◽  
Perceptual Coding ◽  
Coding Scheme ◽  
Saliency Model ◽  
Video Saliency

Perceptual video coding (PVC) can provide a lower bitrate with the same visual quality compared with traditional H.265/high efficiency video coding (HEVC). In this work, a novel H.265/HEVC-compliant PVC framework is proposed based on the video saliency model. Firstly, both an effective and efficient spatiotemporal saliency model is used to generate a video saliency map. Secondly, a perceptual coding scheme is developed based on the saliency map. A saliency-based quantization control algorithm is proposed to reduce the bitrate. Finally, the simulation results demonstrate that the proposed perceptual coding scheme shows its superiority in objective and subjective tests, achieving up to a 9.46% bitrate reduction with negligible subjective and objective quality loss. The advantage of the proposed method is the high quality adapted for a high-definition video application.

Research on Key Algorithm of a New Generation Video Coding Standard HEVC

2013 ◽  
Vol 446-447 ◽  
pp. 961-965
Author(s):  
Gang Wang ◽  
He Xin Chen ◽  
Mian Shu Chen ◽  
Yuan Yuan Liu
Keyword(s):  
Video Coding ◽  
High Efficiency ◽  
Orthogonal Transformation ◽  
Basic Structure ◽  
Research Direction ◽  
Coding System ◽  
High Efficiency Video Coding ◽  
High Definition ◽  
High Definition Television ◽  
New Generation

The video coding standard of a new generation, high efficiency video coding ( HEVC ), is a video coding standard of JCT-VT under planning, mainly orienting toward high definition television （HDTV）and video coding system. From the start of the basic structure of HEVC, this paper not only introduces comprehensively the key HEVC technologies in intra-frame and inter-frame predictive estimation, orthogonal transformation, filter compensation and entropy coding but also points out the hot issues and the latest research direction.

scholarly journals Motion Estimation in HEVC/H.265: Metaheuristic Approach to Improve the Efficiency

2021 ◽  
Vol 12 (1) ◽  
pp. 59
Author(s):  
Khwaja Humble Hassan ◽  
Shahzad Ahmad Butt
Keyword(s):  
Motion Estimation ◽  
Video Coding ◽  
High Efficiency ◽  
Optimization Problems ◽  
Search Algorithm ◽  
High Efficiency Video Coding ◽  
High Definition ◽  
The Social ◽  
Test Zone ◽  
Encoding Efficiency

An ever increasing use of digital video applications such as video telephony, broadcast and the storage of high and ultra-high definition videos has steered the development of video coding standards. The state of the art video coding standard is High Efficiency Video Coding (HEVC) or otherwise known as H.265. It promises to be 50 percent more efficient than the previous video coding standard H.264. Ultimately, H.265 provides significant improvement in compression at the expense of computational complexity. HEVC encoder is very complex and 50 percent of the encoding consists of Motion Estimation (ME). It uses a Test Zone (TZ) fast search algorithm for its motion estimation, which compares a block of pixels with a few selected blocks in the search region of a referenced frame. However, the encoding time is not suitable to meet the needs of real time video applications. So, there is a requirement to improve the search algorithm and to provide comparable results to TZ search to save a substantial amount of time. In our paper, we aim to study the effects of a meta-heuristic algorithm on motion estimation. One such suitable algorithm for this task is the Firefly Algorithm (FA). FA is inspired by the social behavior of fireflies and is generally used to solve optimization problems. Our results show that implementing FA for ME saves a considerable amount of time with a comparable encoding efficiency.

scholarly journals Low-Cost and High-Throughput Hardware Design for the HEVC 16x16 2-D DCT Transform

2014 ◽  
Vol 9 (1) ◽  
pp. 25-35
Author(s):  
Ruhan Conceição ◽  
José Cláudio De Souza Jr ◽  
Ricardo Jeske ◽  
Bruno Zatt ◽  
Marcelo Porto ◽  
...  
Keyword(s):  
Video Coding ◽  
High Throughput ◽  
High Efficiency ◽  
Low Cost ◽  
Hardware Design ◽  
High Efficiency Video Coding ◽  
High Definition ◽  
Real Time Processing ◽  
Dct Transform ◽  
Control Overhead

This article presents the hardware design of the 16x16 2-D DCT used in the new video coding standard, the HEVC – High Efficiency Video Coding. The transforms stage is one of the innovations proposed by HEVC, since a variable size transforms stage is available (from 4x4 to 32x32), allowing the use of transforms with larger dimensions than used in previous standards. The presented design explores the 2-D DCT separability property, using two instances of the one-dimension DCT. The architecture focuses on low hardware cost and high throughput, thus the HEVC 16-points DCT algorithm was simplified targeting a more efficient hardware implementation. Operations and hardware minimization strategies were used in order to achieve such simplifications: operation reordering, factoring, multiplications to shift-adds conversion, and sharing of common sub-expressions. The 1-D DCT architectures were designed in a fully combinational way in order to reduce control overhead. A transposition buffer is used to connect the two 1-D DCT architectures. The synthesis was directed to Stratix III FPGA and TSMC 65nm standard cells technologies. The complete 2-D DCT architecture is able to achieve real-time processing for high and ultra-high definition videos, such as Full HD, QFHD and UHD 8K. When compared with related works, the architectures designed in this work reached the highest throughput and the lowest hardware resources consumption.

scholarly journals High Efficiency Video Coding Compliant Perceptual Video Coding Using Entropy Based Visual Saliency Model

Entropy ◽  
2019 ◽  
Vol 21 (10) ◽  
pp. 964 ◽  
Author(s):  
Muhammad Zeeshan ◽  
Muhammad Majid
Keyword(s):  
Video Coding ◽  
High Efficiency ◽  
Visual Saliency ◽  
Quantization Parameter ◽  
High Efficiency Video Coding ◽  
Saliency Model ◽  
Salient Regions ◽  
Perceptual Video Coding ◽  
Visual Saliency Model ◽  
Visual Saliency Models

In past years, several visual saliency algorithms have been proposed to extract salient regions from multimedia content in view of practical applications. Entropy is one of the important measures to extract salient regions, as these regions have high randomness and attract more visual attention. In the context of perceptual video coding (PVC), computational visual saliency models that utilize the charactertistics of the human visual system to improve the compression ratio are of paramount importance. To date, only a few PVC schemes have been reported that use the visual saliency model. In this paper, we conduct the first attempt to utilize entropy based visual saliency models within the high efficiency video coding (HEVC) framework. The visual saliency map generated for each input video frame is optimally thresholded to generate a binary saliency mask. The proposed HEVC compliant PVC scheme adjusts the quantization parameter according to visual saliency relevance at the coding tree unit (CTU) level. Efficient CTU level rate control is achieved by allocating bits to salient and non-salient CTUs by adjusting the quantization parameter values according to their perceptual weighted map. The attention based on information maximization has shown the best performance on newly created ground truth dataset, which is then incorporated in a HEVC framework. An average bitrate reduction of 6 . 57 % is achieved by the proposed HEVC compliant PVC scheme with the same perceptual quality and a nominal increase in coding complexity of 3 . 34 % when compared with HEVC reference software. Moreover, the proposed PVC scheme performs better than other HEVC based PVC schemes when encoded at low data rates.

Block-level fast coding scheme for depth maps in three-dimensional high efficiency video coding

2018 ◽  
Vol 27 (01) ◽  
pp. 1 ◽  
Author(s):  
Mário Saldanha ◽  
Gustavo Sanchez ◽  
César Marcon ◽  
Luciano Agostini
Keyword(s):  
Video Coding ◽  
High Efficiency ◽  
Three Dimensional ◽  
High Efficiency Video Coding ◽  
Coding Scheme ◽  
Depth Maps ◽  
Block Level

scholarly journals Performance Overview of the Latest Video Coding Proposals: HEVC, JEM and VVC

2021 ◽  
Vol 7 (2) ◽  
pp. 39
Author(s):  
Miguel O. Martínez-Rach ◽  
Héctor Migallón ◽  
Otoniel López-Granado ◽  
Vicente Galiano ◽  
Manuel P. Malumbres
Keyword(s):  
Video Coding ◽  
High Efficiency ◽  
State Of The Art ◽  
Rate Distortion ◽  
Video Content ◽  
Hardware Complexity ◽  
High Efficiency Video Coding ◽  
High Definition ◽  
The Cost ◽  
Performance Results

The audiovisual entertainment industry has entered a race to find the video encoder offering the best Rate/Distortion (R/D) performance for high-quality high-definition video content. The challenge consists in providing a moderate to low computational/hardware complexity encoder able to run Ultra High-Definition (UHD) video formats of different flavours (360°, AR/VR, etc.) with state-of-the-art R/D performance results. It is necessary to evaluate not only R/D performance, a highly important feature, but also the complexity of future video encoders. New coding tools offering a small increase in R/D performance at the cost of greater complexity are being advanced with caution. We performed a detailed analysis of two evolutions of High Efficiency Video Coding (HEVC) video standards, Joint Exploration Model (JEM) and Versatile Video Coding (VVC), in terms of both R/D performance and complexity. The results show how VVC, which represents the new direction of future standards, has, for the time being, sacrificed R/D performance in order to significantly reduce overall coding/decoding complexity.

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