Codec Adaptation for Wireless Multimedia Streaming

2012 ◽  
pp. 68-90
Author(s):  
Ping-Cheng Yeh ◽  
Hung-Yun Hsieh ◽  
Zhung-Han Wu ◽  
Yen-Chi Lee ◽  
Chun-Cheng Chiang ◽  
...  
Keyword(s):  
Video Quality ◽  
Wireless Channel ◽  
Multimedia Streaming ◽  
The Internet ◽  
Media Access Control ◽  
Wireless Multimedia ◽  
Media Access ◽  
Internet Backbone ◽  
Received Signal Strength Indication

Due to the time-varying nature of wireless channels and the Internet backbone traffic, it is a challenging task to maintain the quality of wireless multimedia streaming throughout the transmission. An effective solution is to adapt the codec setting based on the wireless channel condition or the Internet backbone state. In this chapter, we present three cross-layer codec adaptation algorithms that adjust the codec setting in real-time based on media access control frame error rate, received signal strength indication, and path bandwidth respectively. Results show that the algorithms are effective in achieving good video quality for wireless multimedia streaming over wireless links.

Codec Adaptation for Wireless Multimedia Streaming

2013 ◽  
pp. 510-533
Author(s):  
Ping-Cheng Yeh ◽  
Hung-Yun Hsieh ◽  
Zhung-Han Wu ◽  
Yen-Chi Lee ◽  
Chun-Cheng Chiang ◽  
...  
Keyword(s):  
Video Quality ◽  
Wireless Channel ◽  
Multimedia Streaming ◽  
The Internet ◽  
Media Access Control ◽  
Wireless Multimedia ◽  
Media Access ◽  
Internet Backbone ◽  
Received Signal Strength Indication

Due to the time-varying nature of wireless channels and the Internet backbone traffic, it is a challenging task to maintain the quality of wireless multimedia streaming throughout the transmission. An effective solution is to adapt the codec setting based on the wireless channel condition or the Internet backbone state. In this chapter, we present three cross-layer codec adaptation algorithms that adjust the codec setting in real-time based on media access control frame error rate, received signal strength indication, and path bandwidth respectively. Results show that the algorithms are effective in achieving good video quality for wireless multimedia streaming over wireless links.

Recent Advances and Challenges in Wireless QoE-Aware Multimedia Streaming Systems

2012 ◽  
pp. 224-243
Author(s):  
Rosinei Oliveira ◽  
Ádamo L. Santana ◽  
João C. W. A. Costa ◽  
Carlos R. L. Frances ◽  
Elisangela Aguiar ◽  
...  
Keyword(s):  
Quality Of Experience ◽  
Video Quality ◽  
Similarity Index ◽  
Multimedia Streaming ◽  
Ieee 802.11E ◽  
Wireless Multimedia ◽  
Recent Advances ◽  
The Impact ◽  
Streaming Systems

It is expected that multimedia applications will be the most abundant application in the Internet and thousands of new wireless and mobile users will produce and share multimedia streaming content ubiquitously. In this multimedia-aware system, it is important to assure the end-to-end quality level support for video and voice applications in wireless systems. Traditional Quality of Service techniques assure the delivery of those services with packet differentiation assurance and indicate the impact of multimedia traffic only on the network performance; however, they do not reflect the user’s perception. Recent advances in multimedia are exploring new Quality of Experience approaches and including metrics and control schemes in wireless networking systems in order to increase the user´s satisfaction and optimize network resources. Operations based on Quality of Experience can be used as an indicator of how a networking environment meets the end-user’s needs and new assessment and packet control approaches are still important challenges. This chapter presents an overview of the most recent advances and challenges in assessment and traffic conditioner procedures for wireless multimedia streaming systems. In addition, an intelligent packet dropper mechanism for IEEE 802.11e systems is proposed and evaluated by using the Network Simulator 2, real video sequences and Evalvid tool. The benefit and the impact of the proposed solution is evaluated by using well-know objective and subjective Quality of Experience metrics, namely, Peak Signal-to-Noise Ratio, Video Quality Metric, Structural Similarity Index and Mean Option Score.

Impact of Wireless Channel Parameters on Quality of Video Streaming

1970 ◽  
Vol 108 (2) ◽  
pp. 27-30 ◽  
Author(s):  
S. Paulikas ◽  
P. Sargautis ◽  
V. Banevicius
Keyword(s):  
Video Streaming ◽  
Communication Systems ◽  
Video Quality ◽  
Human Perception ◽  
Wireless Channel ◽  
End User ◽  
Processing Power ◽  
Channel Parameters ◽  
Assess Quality

The problem of estimation of video quality obtained by end-user for mobile video streaming is addressed. Widely spreading mobile communication systems and increasing data transmission rates expand variety of multimedia services. One of such services is video streaming. So it is important to assess quality of this service. Consumers of video streaming are humans, and quality assessment must account human perception characteristics. Existing methods for user experienced video quality estimation as quality metrics usually usebit-error rate that has low correlation with by human perceived video quality. More advanced methods usually require too much processing power that cannot be obtained in handled mobile devices or intrusion into device firmware and/or hardware to obtain required data. However, recent research shows that channels throughput dedicated to some service (e.g. video streaming) can be tied to QoS perceived by an end-user indicator. This paper presents a research on impact of wireless channel parameters such as throughput and jitter on quality of video streaming. These wireless channel parameters can be easily obtained by monitoring IP level data streams in end-user’s device by fairly simple software agent for indication of video streaming QoS. Ill. 5, bibl. 10 (in English; abstracts in English and Lithuanian).http://dx.doi.org/10.5755/j01.eee.108.2.138

scholarly journals Evaluation of Video Quality in Wireless Multimedia Sensor Networks

2016 ◽  
Vol 6 (1) ◽  
pp. 223
Author(s):  
Mustafa Shakir ◽  
Obaid Ur Rehman ◽  
Zeeshan Abbas ◽  
Abdullah Masood ◽  
Wajeeha Shahid
Keyword(s):  
Sensor Networks ◽  
Signal To Noise Ratio ◽  
Video Quality ◽  
Discrete Event ◽  
Wireless Multimedia ◽  
Multimedia Sensor Networks ◽  
Opinion Score ◽  
Different Types ◽  
Multimedia Transmissions

<p class="Default">Simulating wireless sensor networks; there implementation and evaluation, require the use of a discrete event simulator. Omnet++ is quite a powerful simulator which supports concise and easy modeling of wired as well as wireless sensors environment. Scenarios involving multimedia transmissions with characteristics of video quality control and evaluation must be computed on the basis of Quality of Experience which relies on user’s perception to maintain the video quality. For the multimedia growth and awareness of future WMSNs, it is quite necessary that the performance should be tested for different types of radio models. So varying the radio parameters may allow for the optimization and improvement of the video quality. In this paper we have provided a test bench for the easy evaluation and optimization of the performance of WMSNs using different radio models. The performance is evaluated based on the QoE metrics; i.e. PSNR(Peak Signal-to-Noise ratio) and MoS(Mean Opinion Score), which depend on user’s perception to maintain the video quality.</p>

scholarly journals HUBUNGAN INTENSITAS AKSES MEDIA BARU DAN KUALITAS INTERAKSI LINGKUNGAN SEKITAR PADA MAHASISWA UNTAG SURABAYA

2018 ◽  
Vol 7 (1) ◽  
pp. 8
Author(s):  
Fitri Norhabiba ◽  
Sukma Ari Ragil Putri
Keyword(s):  
New Media ◽  
Urban Youth ◽  
Computer Mediated Communication ◽  
Internet User ◽  
The Internet ◽  
Media Access ◽  
Mediated Communication ◽  
Environmental Interaction ◽  
Uses And Gratification

The Internet has changed the way people communicate including how internet have used as the tools for producing and distributing the message. In Indonesia, the number of internet user has been increasing, particularly internet user who categorized as the youth. Some research states that the high internet user in this group has the correlation with the low quality of family interaction, the decrease of the social relationship as well as the feeling of lonely. This article tries to support those arguments. By applying the theory of Uses and Gratification and Computer-Mediated Communication (CMC) this article tries to understand the correlation between the intensity of new media access and the quality of interaction of the internet user to the surrounding environmental interaction. The population is a student of Untag Surabaya who representing urban youth. This research involved 388 samples that are taken by using systematic random sampling. The results of the study show that there is a relationship between the intensity of accessing new media to the quality of the surrounding environmental interaction. The test results show that there is positive, strong, and significant correlation r (388) = 0,759; and 0.759, p <0.05. The higher the intensity of new media access, the higher the interaction of the environment around the students. This study is expected to provide new insights and findings related to the quality of students' social interactions relating to the use of new media.

scholarly journals EVeREst: Bitrate Adaptation for Cloud VR

Electronics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 678
Author(s):  
Mikhail Liubogoshchev ◽  
Evgeny Korneev ◽  
Evgeny Khorov
Keyword(s):  
State Of The Art ◽  
Video Quality ◽  
Video Stream ◽  
Wireless Channel ◽  
The State ◽  
Video Frame ◽  
Live Streaming ◽  
Adaptation Algorithm ◽  
Remote Server

Cloud Virtual Reality (VR) technology is expected to promote VR by providing a higher Quality of Experience (QoE) and energy efficiency at lower prices for the consumer. In cloud VR, the virtual environment is rendered on the remote server and transmitted to the headset as a video stream. To guarantee real-time experience, networks need to transfer huge amounts of data with much stricter delays than imposed by the state-of-the-art live video streaming applications. To reduce the burden imposed on the networks, cloud VR applications shall adequately react to the changing network conditions, including the wireless channel fluctuations and highly variable user activity. For that, they need to adjust the quality of the video stream adaptively. This paper studies video quality adaptation for cloud VR and improves the QoE for cloud VR users. It develops a distributed, i.e., with no assistance from the network, bitrate adaptation algorithm for cloud VR, called the Enhanced VR bitrate Estimator (EVeREst). The algorithm aims to optimize the average bitrate of cloud VR video flows subject to video frame delay and loss constraints. For that, the algorithm estimates both the current network load and the delay experienced by separate frames. It anticipates the changes in the users’ activity and limits the bitrate accordingly, which helps prevent excess interruptions of the playback. With simulations, the paper shows that the developed algorithm significantly improves the QoE for the end-users compared to the state-of-the-art adaptation algorithms developed for MPEG DASH live streaming, e.g., BOLA. Unlike these algorithms, the developed algorithm satisfies the frame loss requirements of multiple VR sessions and increases the network goodput by up to 10 times.

scholarly journals A Novel Traffic Rate Measurement Algorithm for Quality of Experience-Aware Video Admission Control

2020 ◽  
Author(s):  
Alexander A. Kist ◽  
qahhar muhammad qadir ◽  
ZHONGWEI ZHANG
Keyword(s):  
Quality Of Experience ◽  
Service Providers ◽  
Video Quality ◽  
The Internet ◽  
Video Traffic ◽  
Internet Service ◽  
Trade Off ◽  
Available Bandwidth ◽  
Traffic Rate

With the inevitable dominance of video traffic on the Internet, providing perceptually good video quality is becoming a challenging task. This is partly due to the bursty nature of video traffic, changing network conditions and limitations of network transport protocols. This growth of video traffic has made Quality of Experience (QoE) of the end user the focus of the research community. In contrast, Internet service providers are concerned about maximizing revenue by accepting as many sessions as possible, as long as customers remain satisfied. However, there is still no entirely satisfactory admission algorithm for flows with variable rate. The trade-off between the number of sessions and perceived QoE can be optimized by exploiting the bursty nature of video traffic. This paper proposes a novel algorithm to determine the upper limit of the aggregate video rate that can exceed the available bandwidth without degrading the QoE of accepted video sessions. A parameter $\beta$ that defines the exceedable limit is defined. The proposed algorithm results in accepting more sessions without compromising the QoE of on-going video sessions. Thus it contributes to the optimization of the QoE-Session trade-off in support of the expected growth of video traffic on the Internet.

scholarly journals A quality of experience-aware cross-layer architecture for optimizing video streaming services

2020 ◽  
Author(s):  
qahhar muhammad qadir ◽  
Alexander A. Kist ◽  
ZHONGWEI ZHANG
Keyword(s):  
Video Streaming ◽  
Quality Of Experience ◽  
Video Quality ◽  
The Internet ◽  
Cross Layer ◽  
Video Traffic ◽  
Adaptive Architecture ◽  
Streaming Services ◽  
Simulation Results

The popularity of the video services on the Internet has evolved various mechanisms that target the Quality of Experience (QoE) optimization of video traffic. The video quality has been enhanced through adapting the sending bitrates. However, rate adaptation alone is not sufficient for maintaining a good video QoE when congestion occurs. This paper presents a cross-layer architecture for video streaming that is QoE-aware. It combines adaptation capabilities of video applications and QoE-aware admission control to optimize the trade-off relationship between QoE and the number of admitted sessions. Simulation results showed the efficiency of the proposed architecture in terms of QoE and number of sessions compared to two other architectures (adaptive architecture and non-adaptive architecture ).

An Improved Cross-Layer Architecture for H.264/SVC Transmission over IEEE 802.11e Networks

2013 ◽  
Vol 303-306 ◽  
pp. 1933-1938
Author(s):  
Yun Feng Wang ◽  
Hong Bing Ma
Keyword(s):  
Video Transmission ◽  
Scalable Video Coding ◽  
Video Quality ◽  
Wireless Channel ◽  
Ieee 802.11E ◽  
Cross Layer ◽  
Cross Layer Design ◽  
Application Layer ◽  
Mapping Mechanism

As an extension to H.264, Scalable Video Coding (SVC) provides three types of scalability, which makes it more suitable for the video transmission over wireless networks. IEEE 802.11e introduces EDCA mechanism to support Quality of Service (QoS). In this paper, a scheme, based on cross-layer design between application layer and MAC layer, is proposed to improve SVC transmission over 802.11e networks. With optimized mapping mechanism and queue management, the approach has taken the SVC video priority and network congestion status into consideration. Simulation demonstrates the effectiveness of the algorithm. The experimental results show that our approach can get full use of the limited wireless channel resources, by which SVC packets with high priority can obtain better protection, thus the decoding video quality can be significantly improved.

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