scholarly journals Performance Parameters of Hevc Video Codec

2019 ◽  
Vol 8 (6) ◽  
pp. 365-369
Keyword(s):  
Video Compression ◽  
High Efficiency ◽  
Video Quality ◽  
Research Work ◽  
Video Codec ◽  
Video Encoding ◽  
High Efficiency Video Coding ◽  
Video Codecs ◽  
Compression Performance

In Video Codecs, The Main Focus Of Researchers Is On Improving Compression Performance To Achieve Higher Compression Rates And To Obtain High Quality Of Video Signals After Encoding At Low Bitrates. There Is Lot Of Satisfactory Research Has Been Done In The Field Video Encoders. Newly Invented HEVC Or H.265 Is A High Efficiency Video Coding Standard Which Improves Video Quality Double For Similar Bit-Rate Than That Of Others Preceders Video Codecs. Here, In This Research Work, We Mainly Focused On Performance And Quality Of Motion JPEG, H.264 And H.265 Using Different Video Encoding Libraries. There Is Lot Of Requirement Of High Efficiency In Video Compression To Handle Complex Computational Video Codecs. Though HEVC Has More Efficiency In Video Compression, Its Cost Is Significant High As Compared To H.264. As Per The Experimentation Conducted, HEVC Shows Best Quality In Video Compression Than That Of H.264. Motion JPEG Required Very Less Time With The Help Of H.264 But, It Generates Worst Encoded Video Quality Using Library Open JPEG. The Encoding Speed Of H.264 Was Slowest Than That Of Other Video Encoders. It Usually Generates Better Video Quality As Compare To Motion JPEG (Kakadu) Encoded Videos. In This Research Paper, We Focused On Video Codec And Its Futuristic Development.

scholarly journals Low delay error resilience algorithm for H.265|HEVC video transmission

2019 ◽  
Vol 17 (6) ◽  
pp. 2047-2063
Author(s):  
Taha T. Alfaqheri ◽  
Abdul Hamid Sadka
Keyword(s):  
Video Coding ◽  
Video Transmission ◽  
High Efficiency ◽  
Video Quality ◽  
Error Resilience ◽  
Video Codec ◽  
Compressed Video ◽  
High Efficiency Video Coding ◽  
Low Delay ◽  
The Impact

AbstractTransmission of high-resolution compressed video on unreliable transmission channels with time-varying characteristics such as wireless channels can adversely affect the decoded visual quality at the decoder side. This task becomes more challenging when the video codec computational complexity is an essential factor for low delay video transmission. High-efficiency video coding (H.265|HEVC) standard is the most recent video coding standard produced by ITU-T and ISO/IEC organisations. In this paper, a robust error resilience algorithm is proposed to reduce the impact of erroneous H.265|HEVC bitstream on the perceptual video quality at the decoder side. The proposed work takes into consideration the compatibility of the algorithm implementations with and without feedback channel update. The proposed work identifies and locates the frame’s most sensitive areas to errors and encodes them in intra mode. The intra-refresh map is generated at the encoder by utilising a grey projection method. The conducted experimental work includes testing the codec performance with the proposed work in error-free and error-prone conditions. The simulation results demonstrate that the proposed algorithm works effectively at high packet loss rates. These results come at the cost of a slight increase in the encoding bit rate overhead and computational processing time compared with the default HEVC HM16 reference software.

FPGA-Based ROI Encoding for HEVC Video Bitrate Reduction

2020 ◽  
Vol 29 (11) ◽  
pp. 2050182
Author(s):  
Zhilei Chai ◽  
Shen Li ◽  
Qunfang He ◽  
Mingsong Chen ◽  
Wenjie Chen
Keyword(s):  
Data Storage ◽  
Video Compression ◽  
High Efficiency ◽  
Video Quality ◽  
Region Of Interest ◽  
Absolute Difference ◽  
High Efficiency Video Coding ◽  
High Definition ◽  
Mapping Algorithm ◽  
Block Based

The explosive growth of video applications has produced great challenges for data storage and transmission. In this paper, we propose a new ROI (region of interest) encoding solution to accelerate the processing and reduce the bitrate based on the latest video compression standard H.265/HEVC (High-Efficiency Video Coding). The traditional ROI extraction mapping algorithm uses pixel-based Gaussian background modeling (GBM), which requires a large number of complex floating-point calculations. Instead, we propose a block-based GBM to set up the background, which is in accord with the block division of HEVC. Then, we use the SAD (sum of absolute difference) rule to separate the foreground block from the background block, and these blocks are mapped into the coding tree unit (CTU) of HEVC. Moreover, the quantization parameter (QP) is adjusted according to the distortion rate automatically. The experimental results show that the processing speed on FPGA has reached a real-time level of 22 FPS (frames per second) for full high-definition videos ([Formula: see text]), and the bitrate is reduced by 10% on average with stable video quality.

scholarly journals The Influence of Coding Tools on Immersive Video Coding

2021 ◽  
Author(s):  
Jakub Szekiełda ◽  
Adrian Dziembowski ◽  
Dawid Mieloch
Keyword(s):  
Video Coding ◽  
Video Compression ◽  
High Efficiency ◽  
Video Codec ◽  
Experimental Results ◽  
High Efficiency Video Coding ◽  
Video Encoder ◽  
Typical Configuration

This paper summarizes the research on the influence of HEVC (High Efficiency Video Coding) configuration on immersive video coding. The research was focused on the newest MPEG standard for immersive video compression – MIV (MPEG Immersive Video). The MIV standard is used as a preprocessing step before the typical video compression thus is agnostic to the video codec. Uncommon characteristics of videos produced by MIV causes, that the typical configuration of the video encoder (optimized for compression of natural sequences) is not optimal for such content. The experimental results prove, that the performance of video compression for immersive video can be significantly increased when selected coding tools are being used.

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.

A Fast Encoding Scheme for High Efficiency Video Coding

2020 ◽  
Vol 13 (6) ◽  
pp. 933-941
Author(s):  
Mohammad Barr
Keyword(s):  
Computational Complexity ◽  
Video Coding ◽  
Video Compression ◽  
High Efficiency ◽  
Rate Distortion ◽  
Unit Size ◽  
High Efficiency Video Coding ◽  
Selection Scheme ◽  
Compression Performance ◽  
Size Selection

Background: High-Efficiency Video Coding (HEVC) is a recent video compression standard. It provides better compression performance compared to its predecessor, H.264/AVC. However, the computational complexity of the HEVC encoder is much higher than that of H.264/AVC encoder. This makes HEVC less attractive to be used in real-time applications and in devices with limited resources (e.g., low memory, low processing power, etc.). The increased computational complexity of HEVC is partly due to its use of a variable size Transform Unit (TU) selection algorithm which successively performs transform operations using transform units of different sizes before selecting the optimal transform unit size. In this paper, a fast transform unit size selection method is proposed to reduce the computational complexity of an HEVC encoder. Methods: Bayesian decision theory is used to predict the size of the TU during encoding. This is done by exploiting the TU size decisions at a previous temporal level and by modeling the relationship between the TU size and the Rate-Distortion (RD) cost values. Results: Simulation results show that the proposed method achieves a reduction of the encoding time of the latest HEVC encoder by 16.21% on average without incurring any noticeable compromise on its compression efficiency. The algorithm also reduces the number of transform operations by 44.98% on average. Conclusion: In this paper, a novel fast TU size selection scheme for HEVC is proposed. The proposed technique outperforms both the latest HEVC reference software, HM 16.0, as well as other state-of-the-art techniques in terms of time-complexity. The compression performance of the proposed technique is comparable to that of HM 16.0.

scholarly journals A Motion Estimation based Algorithm for Encoding Time Reduction in HEVC

2022 ◽  
Vol 72 (1) ◽  
pp. 56-66
Author(s):  
S. Karthik Sairam ◽  
P. Muralidhar
Keyword(s):  
Motion Estimation ◽  
Video Coding ◽  
Video Compression ◽  
High Efficiency ◽  
Search Algorithm ◽  
Video Quality ◽  
Search Pattern ◽  
Absolute Difference ◽  
High Efficiency Video Coding ◽  
Search Patterns

High Efficiency Video Coding (HEVC) is a video compression standard that offers 50% more efficiency at the expense of high encoding time contrasted with the H.264 Advanced Video Coding (AVC) standard. The encoding time must be reduced to satisfy the needs of real-time applications. This paper has proposed the Multi- Level Resolution Vertical Subsampling (MLRVS) algorithm to reduce the encoding time. The vertical subsampling minimizes the number of Sum of Absolute Difference (SAD) computations during the motion estimation process. The complexity reduction algorithm is also used for fast coding the coefficients of the quantised block using a flag decision. Two distinct search patterns are suggested: New Cross Diamond Diamond (NCDD) and New Cross Diamond Hexagonal (NCDH) search patterns, which reduce the time needed to locate the motion vectors. In this paper, the MLRVS algorithm with NCDD and MLRVS algorithm with NCDH search patterns are simulated separately and analyzed. The results show that the encoding time of the encoder is decreased by 55% with MLRVS algorithm using NCDD search pattern and 56% with MLRVS using NCDH search pattern compared to HM16.5 with Test Zone (TZ) search algorithm. These results are achieved with a slight increase in bit rate and negligible deterioration in output video quality.

Parallel Full Search Algorithm for Motion Estimation on Graphic Processing Unit

2019 ◽  
Vol 12 (4) ◽  
pp. 317-323
Author(s):  
Fatma Ezzahra Sayadi ◽  
Marwa Chouchene ◽  
Haithem Bahri ◽  
Randa Khemiri ◽  
Mohamed Atri
Keyword(s):  
Motion Estimation ◽  
Video Compression ◽  
High Performance ◽  
High Efficiency ◽  
Search Algorithm ◽  
Low Cost ◽  
Video Quality ◽  
Processing Unit ◽  
High Efficiency Video Coding ◽  
Nvidia Gpu

Background: Advances in video compression technology have been driven by everincreasing processing power available in software and hardware. Methods: The emerging High-Efficiency Video Coding (HEVC) standard aims to provide a doubling in coding efficiency with respect to the H.264/AVC high profile, delivering the same video quality at half the bit rate. Results: Thus, the results show high computational complexity. In both standards, the motion estimation block presents a significant challenge in clock latency since it consumes more than 40% of the total encoding time. For these reasons, we proposed an optimized implementation of this algorithm on a low-cost NVIDIA GPU developed with CUDA language. Conclusion: This optimized implementation can provide high-performance video encoder where the speed reaches about 85.

scholarly journals Simulation and Performance Enhancement of High Efficiency Video Coding Standard for Video Compression

2019 ◽  
Vol 8 (11) ◽  
pp. 4311-4315
Keyword(s):  
Wireless Communication ◽  
Video Coding ◽  
Video Compression ◽  
High Efficiency ◽  
Performance Enhancement ◽  
Research Work ◽  
High Efficiency Video Coding ◽  
And Performance

In the era of modern communication, the transmission of video is the most demanded feature and that makes the bandwidth issues crucial. The only solution to fight with is the video compression techniques/ standards.The High efficiency video coding standard(H.265/ HEVC) is newly evolved standard that is popularly used. this standard is better in saving bandwidth giving more compression. This research work deals with narrates the steps of implementation, simulation with MATLAB and the results obtained. from the obtained results, the 4G technique for wireless communication has been obtained in an enhanced way from the compression perspective

Adaptive HTTP Streaming with Temporal Scalability in High Efficiency Video Coding (HEVC)

2014 ◽  
Vol 08 (02) ◽  
pp. 229-243
Author(s):  
Sachin Deshpande
Keyword(s):  
Video Coding ◽  
High Efficiency ◽  
Switching Behavior ◽  
High Efficiency Video Coding ◽  
Temporal Scalability ◽  
Server Side ◽  
Adaptive Http Streaming ◽  
Streaming Algorithm ◽  
Http Streaming

The newly approved High Efficiency Video Coding Standard (HEVC) includes temporal sub-layering feature, which provides temporal scalability. Two types of pictures — Temporal Sub-layer Access Pictures and Step-wise Temporal Sub-layer Access Pictures are provided for this purpose. This paper utilizes the temporal scalability in HEVC to provide bandwidth adaptive HTTP streaming. We describe our HTTP streaming algorithm, which is media timeline aware and which dynamically switches temporal sub-layers on the server side. We performed subjective tests to determine user perception regarding acceptable frame rates when using temporal scalability of HEVC. These results are used to control the algorithm's temporal switching behavior to provide a good quality of experience to the user. We applied Internet and 3GPP error-delay patterns to validate the performance of our algorithm.

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