HEVStream: a framework for streaming and evaluation of high efficiency video coding (HEVC) content in loss-prone networks

Nightingale, James; Wang, Qi; Grecos, Christos

doi:10.1109/tce.2012.6227440

Cited by 69 publications

(40 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…For instance, previous works have shown that HEVC streams are highly sensitive to bandwidth fluctuations, which may be responsible for decreasing the quality (i.e., PSNR) by up to 4 dB for just 10% of bandwidth reduction [8], [7]. This is not only due to the intrinsic nature of predictive coded video, but it is also related to the error detection capabilities of transport and encapsulation protocols, which may have significant impact on the overall performance [16], [17].…”

Section: Related Workmentioning

confidence: 99%

“…Another critical aspect related to the performance of robust video streaming methods is the error detection accuracy. Since HEVC streaming is expected to use known transport technologies, such as RTP [7], MPEG-2 TS [8], or more recent standards as MPEG-DASH [9] and MPEG Media Transport [10], their error detection capabilities have significant impact on the overall system performance. In general, the error detection operation at the transport layers is decoupled from the video coding layer.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Two-Stage Approach for Robust HEVC Coding and Streaming

Carreira

Assunção

Faria

et al. 2018

IEEE Trans. Circuits Syst. Video Technol.

View full text Add to dashboard Cite

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Two-Stage Approach for Robust HEVC Coding and Streaming

Carreira

Assunção

Faria

et al. 2018

IEEE Trans. Circuits Syst. Video Technol.

View full text Add to dashboard Cite

“…HEVC code (without reduction in visual quality) has improved the video compression ratio by at least 50%, compared with H.264, across various applications such as videoconferencing, digital storage media, television broadcasting, internet streaming and communication [Wiegand et al, 2003;Li Liu et al, 2010 ;Nightingale et al, 2012;Bross et al, 2012].…”

Section: Video Coding International Standardmentioning

confidence: 99%

Enhanced Computation Time for Fast Block Matching Algorithm

Ahmed

Hussain

Al‐Jumeily

2011

2011 Developments in E-Systems Engineering

View full text Add to dashboard Cite

i ACKNOWLEDGMENTSMy thanks go firstly, as it should always be, to Allah who gave me the energy, health, and courage to spend a lot of determination and time until I completed this work.My most sincere gratitude and appreciation to my supervisor Dr Abir Hussain for all her patience, valuable advice, discussions, convincing arguments and more during the life of this thesis, I wish her all the best for the future. I also owe a great debt to Dr. Dhiya Al-Jumeily for his support, advice and encouragement from the beginning until now and I would like to thank him for his constructive comments on my thesis. Motion compensated predictive coding is the main coding tool for removing temporal redundancy of video sequences and it typically accounts for 50-80% of the video encoding complexity. This technique has been adopted by all of the existing international video coding standards. It assumes that the current frame can be locally modelled as a translation of the reference frames. The practical and widely method used to carry out motion compensated prediction is block matching algorithm. In this method, video frames are divided into a set of non-overlapped macroblocks; each target macroblock of the current frame is compared with the search area in the reference frame in order to find the best matching macroblock. This will carry out displacement vectors that stipulate the movement of the macroblocks from one location to another in the reference frame. Checking all these locations is called full Search, which provides the best result. However, this algorithm suffers from long computational time, which necessitates improvement. Several methods of Fast Block Matching algorithm were developed to reduce the computation complexity.This thesis focuses on two classifications: the first is called the lossless block matching algorithm process, in which the computational time required to determine the matching macroblock of the full search is decreased while the resolution of the predicted frames is the same as for the full search. The second is called the lossy block matching algorithm process, which reduces the computational complexity effectively but the search result's quality is not the same as for the full search.

show abstract

“…For instance, Nightingale et al [9] evaluate the performance of the HEVC standard in loss-prone networks, Zeng et al [10] present a comparison between the coding gain predicted by objective video quality assessment models for the two standards, Vanne et al [11] analyze the rate distortion complexity of the HEVC codec, Milicevic and Bojkovic [12] investigate the general performance of HEVC, and the implementation and complexity analysis for HEVC is presented by Bossen et al [13] and Correa et al [14]. This paper presents the performance comparison between H.264/AVC and HEVC video compression standards in the broadcasting environment, where random access is available, based on the objective quality, bitrate saving, and latency measurement.…”

Section: Introductionmentioning

confidence: 99%

Performance Comparison of HEVC and H.264/AVC Standards in Broadcasting Environments

Dissanayake¹,

Abeyrathna²

2015

J Inf Process Syst

View full text Add to dashboard Cite

High Efficiency Video Coding (HEVC) is the most recent video codec standard of the ITU-T Video Coding Experts Group and the ISO/IEC Moving Picture Experts Group. The main goal of this newly introduced standard is for catering to high-resolution video in low bandwidth environments with a higher compression ratio. This paper provides a performance comparison between HEVC and H.264/AVC video compression standards in terms of objective quality, delay, and complexity in the broadcasting environment. The experimental investigation was carried out using six test sequences in the random access configuration of the HEVC test model (HM), the HEVC reference software. This was also carried out in similar configuration settings of the Joint Scalable Video Module (JSVM), the official scalable H.264/AVC reference implementation, running on a single layer mode. According to the results obtained, the HM achieves more than double the compression ratio compared to that of JSVM and delivers the same video quality at half the bitrate. Yet, the HM encodes two times slower (at most) than JSVM. Hence, it can be concluded that the application scenarios of HM and JSVM should be judiciously selected considering the availability of system resources. For instance, HM is not suitable for low delay applications, but it can be used effectively in low bandwidth environments.

show abstract

HEVStream: a framework for streaming and evaluation of high efficiency video coding (HEVC) content in loss-prone networks

Cited by 69 publications

References 11 publications

A Two-Stage Approach for Robust HEVC Coding and Streaming

A Two-Stage Approach for Robust HEVC Coding and Streaming

Enhanced Computation Time for Fast Block Matching Algorithm

Performance Comparison of HEVC and H.264/AVC Standards in Broadcasting Environments

Contact Info

Product

Resources

About