Informal subjective quality comparison of video compression performance of the HEVC and H.264/MPEG-4 AVC standards for low-delay applications

2012 ◽  
Author(s):  
Michael Horowitz ◽  
Faouzi Kossentini ◽  
Nader Mahdi ◽  
Shilin Xu ◽  
Hsan Guermazi ◽  
...  
Keyword(s):  
Video Compression ◽  
Subjective Quality ◽  
Compression Performance ◽  
Low Delay

scholarly journals Discrete Sine Transform-Based Interpolation Filter for Video Compression

2017 ◽  
Author(s):  
MyungJun Kim ◽  
Yung-Lyul Lee
Keyword(s):  
Video Coding ◽  
Discrete Cosine Transform ◽  
Video Compression ◽  
High Efficiency ◽  
Random Access ◽  
High Efficiency Video Coding ◽  
Interpolation Filter ◽  
Interpolation Filters ◽  
Low Delay ◽  
Sine Transform

High Efficiency Video Coding (HEVC) uses an 8-point filter and a 7-point filter, which are based on the discrete cosine transform (DCT), for the 1/2-pixel and 1/4-pixel interpolations, respectively. In this paper, discrete sine transform (DST)-based interpolation filters (IF) are proposed. The first proposed DST-based IFs (DST-IFs) use 8-point and 7-point filters for the 1/2-pixel and 1/4-pixel interpolations, respectively. The final proposed DST-IFs use 12-point and 11-point filters for the 1/2-pixel and 1/4-pixel interpolations, respectively. These DST-IF methods are proposed to improve the motion-compensated prediction in HEVC. The 8-point and 7-point DST-IF methods showed average BD-rate reductions of 0.7% and 0.3% in the random access (RA) and low delay B (LDB) configurations, respectively. The 12-point and 11-point DST-IF methods showed average BD-rate reductions of 1.4% and 1.2% in the RA and LDB configurations for the Luma component, respectively.

Per Clip Lagrangian Multiplier Optimisation for HEVC

2020 ◽  
Vol 2020 (10) ◽  
pp. 136-1-136-7
Author(s):  
Daniel J Ringis ◽  
François Pitié ◽  
Anil Kokaram
Keyword(s):  
Video Compression ◽  
Rate Distortion ◽  
Lagrangian Multiplier ◽  
Video Content ◽  
Compression Performance ◽  
Quality Video ◽  
Rate Improvement ◽  
Optimisation Methods ◽  
High Quality Video ◽  
The Impact

The majority of internet traffic is video content. This drives the demand for video compression in order to deliver high quality video at low target bitrates. This paper investigates the impact of adjusting the rate distortion equation on compression performance. An constant of proportionality, k, is used to modify the Lagrange multiplier used in H.265 (HEVC). Direct optimisation methods are deployed to maximise BD-Rate improvement for a particular clip. This leads to up to 21% BD-Rate improvement for an individual clip. Furthermore we use a more realistic corpus of material provided by YouTube. The results show that direct optimisation using BD-rate as the objective function can lead to further gains in bitrate savings that are not available with previous approaches.

scholarly journals On SPARC LEON-2 ISA Extensions Experiments for MPEG Encoding Acceleration

VLSI Design ◽  
2007 ◽  
Vol 2007 ◽  
pp. 1-10 ◽  
Author(s):  
P. Guironnet de Massas ◽  
P. Amblard ◽  
F. Pétrot
Keyword(s):  
Video Compression ◽  
Instruction Set ◽  
Clock Frequency ◽  
Compression Performance ◽  
Area Increase ◽  
Mpeg Encoding ◽  
A Performance

This paper presents the necessary steps to modify the implementation of the SPARCV8 architecture to enhance it with multimedia-oriented instructions. The purpose is improving video compression performance without designing dedicated coprocessors. We investigate the complexity of modifying a standard processor instruction set and show that, although not trivial, this is feasible in a few weeks. We implemented 12 new instructions and use some of them to optimize the computation of a demanding step of the MPEG encoding. The result is a performance increase of 67% in the execution of a part of this algorithm, allowing us to expect a 30% speedup in the execution of an MPEG video compression. The area increase of the integer unit is about 18% and the clock frequency is not significantly modified in an LEON-2 implementing 6 among 12 of the new instructions.

Comparing common still image quality metrics in recent High Dynamic Range (HDR) and Wide Color Gamut (WCG) representations

2020 ◽  
Vol 2020 (9) ◽  
pp. 214-1-214-9
Author(s):  
Anustup Choudhury ◽  
Scott Daly
Keyword(s):  
Video Compression ◽  
Dynamic Range ◽  
Color Space ◽  
High Dynamic Range ◽  
Quality Metrics ◽  
Subjective Quality ◽  
Tone Mapping ◽  
Color Gamut ◽  
Wide Color Gamut ◽  
High Dynamic

There are an increasing number of databases describing subjective quality responses for HDR (high dynamic range) imagery with various distortions. The dominant distortions across the databases are those that arise from video compression, which are primarily perceived as achromatic, but there are some chromatic distortions due to 422 and other chromatic sub-sampling. Tone mapping from the source HDR levels to various levels of reduced capability SDR (standard dynamic range) are also included in these databases. While most of these distortions are achromatic, tone-mapping can cause changes in saturation and hue angle when saturated colors are in the upper hull of the of the color space. In addition, there is one database that specifically looked at color distortions in an HDR-WCG (wide color gamut) space. From these databases we can test the improvements to well-known quality metrics if they are applied in the newly developed color perceptual spaces (i.e., representations) specifically designed for HDR and WCG. We present results from testing these subjective quality databases to computed quality using the new color spaces of Jzazbz and ICTCP, as well as the commonly used SDR color space of CIELAB.

scholarly journals Application Map in the Noise Suppression Filter for Video Compression

2020 ◽  
pp. short76-1-short76-13
Author(s):  
Roman Chernyak ◽  
Roman Meshcheryakov
Keyword(s):  
Video Coding ◽  
Video Compression ◽  
Noise Suppression ◽  
Loop Filter ◽  
Average Complexity ◽  
Low Delay ◽  
Objective Performance ◽  
Reference Implementation ◽  
Simulation Results ◽  
Performance Results

This paper considers an application map method usage together with the Nose Suppression Filter (NSF) in-loop filter for video compression. The application map method is described in details and simulations results of basic NSF are provided as well as simulation results of NSF powered with the application map method. It is demonstrated that the application map method allows to significantly improve objective performance results of basic NSF and additionally decrease decoder average complexity. As a result, an average bd-rate saving of NSF with the application map reaches 2.6% for luma component in Low Delay P coding configuration in comparing to Versatile Video Coding reference implementation (VTM) version 1.0.

scholarly journals Insights on Video Compression Strategies using Machine Learning

2019 ◽  
Vol 9 (1) ◽  
pp. 2724-2733
Keyword(s):  
Machine Learning ◽  
Video Compression ◽  
Research Problem ◽  
Learning Approach ◽  
Unsolved Research Problem ◽  
Compression Technique ◽  
Compression Performance ◽  
Machine Learning Approach ◽  
Research Problems ◽  
Research Gap

With the rising advancement of the multimedia technology, video compression is becoming a challenging problem. Although, there is availability of various standard compression algorithms, yet robust compression performance is yet to be seen in existing compression techniques. This paper also highlights that machine learning plays a significant contributory role in improving the performance of the video compression. Therefore, this manuscript offers a technical insight about the performance of existing video compression technique using machine learning approach. The contribution of this paper is its findings which states that machine learning approach do have significant advantage but the advantageous features are limited by the inherent and unsolved research problem. The core findings of this paper are basically to highlight the strength and limitations of existing methods as well as to highlight the research gap in terms of open-end research problems which requires immediate attention.

scholarly journals Applying Objective Quality Metrics to Video-Codec Comparisons: Choosing the Best Metric for Subjective Quality Estimation

2021 ◽  
Author(s):  
Anastasia Antsiferova ◽  
Alexander Yakovenko ◽  
Nickolay Safonov ◽  
Dmitriy Kulikov ◽  
Alexander Gushin ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Video Compression ◽  
Video Quality ◽  
Quality Metrics ◽  
Subjective Quality ◽  
Video Codec ◽  
Video Codecs ◽  
Comparison Results ◽  
Objective Quality ◽  
Weighting Coefficients

Quality assessment is essential to creating and comparing video compression algorithms. Despite the development of many new quality-assessment methods, well-known and generally accepted codecs comparisons mainly employ classical methods such as PSNR, SSIM, and VMAF. These methods have different variations: temporal pooling techniques, color-component summations and versions. In this paper, we present comparison results for generally accepted video-quality metrics to determine which ones are most relevant to video codecs comparisons. For evaluation we used videos compressed by codecs of different standards at three bitrates, and subjective scores were collected for these videos. Evaluation dataset consists of 789 encoded streams and 320294 subjective scores. VMAF calculated for all Y, U, V color spaced showed the best correlation with subjective quality, and we also showed that the usage of smaller weighting coefficients for U and V components leads to a better correlation with subjective quality.

Sign in / Sign up

Export Citation Format

Share Document