Improving Quality of Experience for Mobile Broadcasters in Personalized Live Video Streaming

Author(s):  
Qingmei Ren ◽  
Yong Cui ◽  
Wenfei Wu ◽  
Changfeng Chen ◽  
Yuchi Chen ◽  
...  
2019 ◽  
Vol 9 (11) ◽  
pp. 2297
Author(s):  
Kyeongseon Kim ◽  
Dohyun Kwon ◽  
Joongheon Kim ◽  
Aziz Mohaisen

As the demand for over-the-top and online streaming services exponentially increases, many techniques for Quality of Experience (QoE) provisioning have been studied. Users can take actions (e.g., skipping) while streaming a video. Therefore, we should consider the viewing pattern of users rather than the network condition or video quality. In this context, we propose a proactive content-loading algorithm for improving per-user personalized preferences using multinomial softmax classification. Based on experimental results, the proposed algorithm has a personalized per-user content waiting time that is significantly lower than that of competing algorithms.


Circulation ◽  
2021 ◽  
Vol 144 (Suppl_2) ◽  
Author(s):  
Gitte Linderoth ◽  
Oscar Rosenkrantz ◽  
Freddy Lippert ◽  
Doris Oestergaard ◽  
Annette K Ersbøll ◽  
...  

Introduction: Good quality of cardiopulmonary resuscitation (CPR) provided by bystanders is important for the outcome in out-of-hospital cardiac arrest (OHCA). A live video stream from the bystander’s smartphone to the medical dispatcher might improve the quality of chest compressions performed during CPR. Methods: At the Copenhagen Emergency Medical Services in Denmark, the medical dispatcher can add a live video to the emergency call. In case of OHCA, the medical dispatcher guides bystanders in dispatcher-assisted CPR (DA-CPR). After initiating chest compressions, the medical dispatcher can add live video streaming. A cohort study was conducted with an evaluation of performed chest compressions from the video footage before and after the dispatcher used the video to instruct CPR (video-instructed DA-CPR). Correct chest compressions were defined according to European Resuscitation Council Guidelines. Results: CPR was provided with a live video stream in 52 OHCA calls, in which 90 bystanders performed chest compressions. Thirty OHCA occurred at a public location, and more than four bystanders were present in 32 (62%) cases. In 26 cases, chest compressions were performed by more than one bystander. Eight (9%) bystanders performed correct chest compressions before video-instructed DA-CPR. For the bystanders first initiating insufficient CPR improvements were observed for: hand placement 58% (n=17/29), compressions rate 73% (n=17/21), and compressions depth 62% (n=19/31) following video-instructed DA-CPR. For the second bystander providing CPR (n=26) improvements were still observed for: hand placement 57% (n=4/7), compressions rate 73% (N=8/11), and compressions depth 53% (n=11/21) following video-instructed DA-CPR. For the third and fourth bystander (n=10), providing CPR improvements were seen for: hand placement 100% (n=2/2), compressions rate 50 % (n=2/4), and compressions depth 60% (n=3/5). Eighteen bystanders had a chest compressions performance measurement that could not be observed. Conclusions: A live video from the bystander`s smartphone to the medical dispatcher could improve the quality of chest compressions in CPR, and guidance seems important not just for the first bystander but for all bystanders performing CPR.


2021 ◽  
Vol 11 (1) ◽  
pp. 15-23
Author(s):  
Agus Suhendar

Streaming is the process of sending data continuously or continuously that be broadcast overthe internet. FPV (First-person view) is a method used to control radio control vehicles from thepilot. Analysis of live video streaming service on FPV aeromodelling with standard configurationsto determine the maximum results for live video streaming service on FPV aeromodelling. Distancemeasurements and environmental conditions are also necessary to determine the performance of livevideo streaming. Then performed a Quality of Service (QoS) analysis, including measurement ofdelay, jitter, and throughput using Wireshark. From the tests that have been carried out, thecomparison of the best value between the measurement of data delay with a value of 0.0085 ms, fora jitter of 20.294 ms and a throughput of 0.009 ms is obtained, all of which are in accordance withthe standards recommended by ITU-T, so that the overall QoS obtained gives sufficient results.satisfying.


Author(s):  
Yitao Xing ◽  
Kaiping Xue ◽  
Yuan Zhang ◽  
Jiangping Han ◽  
Jian Li ◽  
...  

2021 ◽  
Vol 18 (1) ◽  
pp. 552-569
Author(s):  
Alireza Erfanian ◽  
Farzad Tashtarian ◽  
Anatoliy Zabrovskiy ◽  
Christian Timmerer ◽  
Hermann Hellwagner

2014 ◽  
Vol 74 ◽  
pp. 53-63 ◽  
Author(s):  
Dongni Ren ◽  
Wang Kit Wong ◽  
S.-H. Gary Chan

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