scholarly journals Evaluation of H.265 Video Delivery Based on Dynamic Adaptive Streaming over HTTP (DASH) Using Mobile Devices

2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Hamid Azwar
Keyword(s):  
Video Coding ◽  
Mobile Devices ◽  
High Efficiency ◽  
Video Quality ◽  
Video Segment ◽  
Adaptive Streaming ◽  
Video Delivery ◽  
High Efficiency Video Coding ◽  
3G Networks ◽  
Http Streaming

MPEG Dynamic Adaptive Streaming over HTTP (MPEG-DASH) is a standard for HTTP streaming that allows interoperability between servers and clients from different vendors which is able to adjust the speed of video delivery to changing bandwidth. Today there is the latest H.265 video coding known as the High Efficiency Video Coding (HEVC). This research implemented the delivery of the H.265 video through the method of Dynamic Adaptive Streaming over HTTP (DASH) using mobile devices. The test was conducted by sending videos over 3G networks with GSM length video segment consists of 2 seconds, 5 seconds, 10 seconds and 20 seconds. The video quality provided in this study consisted of 5 video levels with different bit rates. From the test results, the submitted videos using a smaller video segment generated greater throughput and acquired more video quality with a higher bit rate than the video to a larger segment. Video delivery with segment of 2 seconds acquired video quality with the highest level of 83%, meanwhile the video delivery segment of 20 seconds obtained video quality with the highest level of 33%.

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.

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.

scholarly journals Fake Bitrate Detection of HEVC Videos Based on Prediction Process

Symmetry ◽  
2019 ◽  
Vol 11 (7) ◽  
pp. 918
Author(s):  
Xiaoyun Liang ◽  
Zhaohong Li ◽  
Zhonghao Li ◽  
Zhenzhen Zhang
Keyword(s):  
Video Coding ◽  
High Efficiency ◽  
Video Quality ◽  
Support Vector ◽  
High Efficiency Video Coding ◽  
Network Resources ◽  
Stable Algorithm ◽  
Feature Sets ◽  
Single Feature ◽  
Click Through Rate

In order to defraud click-through rate, some merchants recompress the low-bitrate video to a high-bitrate one without improving the video quality. This behavior deceives viewers and wastes network resources. Therefore, a stable algorithm that detects fake bitrate videos is urgently needed. High-Efficiency Video Coding (HEVC) is a worldwide popular video coding standard. Hence, in this paper, a robust algorithm is proposed to detect HEVC fake bitrate videos. Firstly, five effective feature sets are extracted from the prediction process of HEVC, including Coding Unit of I-picture/P-picture partitioning modes, Prediction Unit of I-picture/P-picture partitioning modes, Intra Prediction Modes of I-picture. Secondly, feature concatenation is adopted to enhance the expressiveness and improve the effectiveness of the features. Finally, five single feature sets and three concatenate feature sets are separately sent to the support vector machine for modeling and testing. The performance of the proposed algorithm is compared with state-of-the-art algorithms on HEVC videos of various resolutions and fake bitrates. The results show that the proposed algorithm can not only can better detect HEVC fake bitrate videos, but also has strong robustness against frame deletion, copy-paste, and shifted Group of Picture structure attacks.

scholarly journals Pengaruh Panjang Segmen Video pada Dynamic Adaptive Streaming over HTTP (DASH) terhadap Kualitas Pengiriman Video H.265

2015 ◽  
Vol 1 (2) ◽  
pp. 39-48
Author(s):  
Hamid Azwar
Keyword(s):  
Video Coding ◽  
Video Streaming ◽  
High Efficiency ◽  
Adaptive Streaming ◽  
High Efficiency Video Coding ◽  
Media Presentation

Saat ini sudah muncul video coding terbaru yaitu H.265 atau dikenal dengan nama High Efficiency Video Coding (HEVC). Dalam penerapan layanan video streaming menggunakan MPEG-DASH, representasi tingkat kualitas video yang terdapat pada Media Presentation Description (MPD) disusun oleh beberapa segmen video. Permasalahan yang muncul saat pengaturan panjang segmen video tersebut adalah pengaruh kualitas video yang diterima pada klien pada saat segmen video tersebut dikirimkan menggunakan MPEG-DASH. Penelitian ini menggunakan video H.265 untuk dikirimkan menggunakan MPEG-DASH yang dicampur dengan trafik background dari server FTP pada jaringan WLAN. Hasil penilitian ini menunjukkan video H.265 dapat digunakan untuk pengiriman secara adaptif menggunakan MPEG-DASH. Panjang segmen video yang semakin kecil akan menghasilkan nilai PSNR yang semakin besar. Segmen video yang semakin besar berdampak positif terhadap processor usage karenamenghasilkan nilai yang semakin kecil.Kata kunci: HEVC, MPEG-DASH, H.265, PSNR, segmen

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.

A Survey on Video Coding Principles and Standards

2013 ◽  
pp. 1-27
Author(s):  
H. Koumaras ◽  
M.A. Kourtis
Keyword(s):  
Video Coding ◽  
Video Processing ◽  
High Efficiency ◽  
Video Quality ◽  
The Novel ◽  
High Efficiency Video Coding ◽  
Coding Standards ◽  
Principles And Standards ◽  
Individual Profiles ◽  
Video Quality Evaluation

This chapter presents a general overview of the video coding principles and standards. This chapter launches with a brief explanation of the video coding process, and analyzes its discrete components, using specific examples. It then proceeds to an overall outline of the most important video coding standards by MPEG and their individual profiles/versions, and of the novel video coding standard High Efficiency Video Coding (HEVC). Additionally, this chapter contains a description of the objective and subjective video quality evaluation methods that are widely used in video quality assessment. The chapter concludes with a report on future trends and developments regarding the field of video processing.

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