On the Impact of Burst Loss for QoE-Based Performance Evaluations for Video Streaming

2020 ◽  
Author(s):  
Dominic Laniewski ◽  
Bertram Schutz ◽  
Nils Aschenbruck
Keyword(s):  
Video Streaming ◽  
Performance Evaluations ◽  
The Impact

scholarly journals A Proposed Adaptive Bitrate Scheme Based on Bandwidth Prediction Algorithm for Smoothly Video Streaming

2021 ◽  
Vol 27 (1) ◽  
pp. 112-129
Author(s):  
Saba Qasim Jabbar ◽  
Dheyaa Jasim Kadhim
Keyword(s):  
Video Streaming ◽  
Video Quality ◽  
Prediction Algorithm ◽  
Buffer Size ◽  
Video Playback ◽  
Buffer Occupancy ◽  
Simulation Results ◽  
Streaming Technology ◽  
The Impact ◽  
Buffer Structure

A robust video-bitrate adaptive scheme at client-aspect plays a significant role in keeping a good quality of video streaming technology experience. Video quality affects the amount of time the video has turned off playing due to the unfilled buffer state. Therefore to maintain a video streaming continuously with smooth bandwidth fluctuation, a video buffer structure based on adapting the video bitrate is considered in this work. Initially, the video buffer structure is formulated as an optimal control-theoretic problem that combines both video bitrate and video buffer feedback signals. While protecting the video buffer occupancy from exceeding the limited operating level can provide continuous video streaming, it may also cause a video bitrate oscillation. So the video buffer structure is adjusted by adding two thresholds as operating points for overflow and underflow states to filter the impact of throughput fluctuation on video buffer occupancy level. Then a bandwidth prediction algorithm is proposed for enhancing the performance of video bitrate adaptation. This algorithm's work depends on the current video buffer level, video bitrate of the previous segment, and iterative throughput measurements to predict the best video bitrate for the next segment. Simulation results show that reserving a bandwidth margin is better in adapting the video bitrate under bandwidth variation and then reducing the risk of video playback freezing. Simulation results proved that the playback freezing happens two times: firstly, when there is no bandwidth margin used and secondly, when the bandwidth margin is high while smooth video bitrate is obtained with moderate value. The proposed scheme is compared with other two schemes such as smoothed throughput rate (STR) and Buffer Based Rate (BBR) in terms of prediction error, QoE preferences, buffer size, and startup delay time, then the proposed scheme outperforms these schemes in attaining smooth video bitrates and continuous video playback.

scholarly journals Performance evaluation of video streaming on LTE with coexistence of Wi-Fi signal

2019 ◽  
Vol 8 (3) ◽  
pp. 890-897
Author(s):  
Y. J. I. A. Yaqoob ◽  
W. L. Pang ◽  
S. K. Wong ◽  
K. Y. Chan
Keyword(s):  
Video Streaming ◽  
Network Performance ◽  
Software Radio ◽  
Radio Spectrum ◽  
Application Framework ◽  
Data Traffic ◽  
Continuous Growth ◽  
Lte Network ◽  
The Impact ◽  
Unlicensed Band

The continuous growth in mobile data traffic and limited license wireless spectrum have led to dramatically increase the demand of the radio spectrum. It is widespread the concern about the coexistence of long term evolution (LTE) and Wi-Fi in the unlicensed band. There are several techniques have been proposed to enable the coexistence of LTE and Wi-Fi in the unlicensed band, but these works are targeted on the impact of the LTE to the Wi-Fi network performance. An experiment is carried out in this work to evaluate the impact of Wi-Fi signal on the video streaming in the LTE network. The experimental test comprised of the national instrument (NI) universal software radio peripheral (USRP) 2953R that is controlled by the LabVIEW Communication LTE application framework. Extensiveexperiments are carried out under two scenarios, i.e. (1) Coexistence of LTE and Wi-Fi signal, (2) LTE signal only. Performance evaluations are carried out with different Modulation and coding schemes (MCS) values and different mode of operations, i.e. frequency division duplex (FDD) and time division duplex (TDD) mode. The results illustrated that the interference from Wi-Fi signal caused the performance degradation of the LTE network in throughput and the power received by user equipment (UE).

The Comparative Impact of Critics and Consumers: Applying the Generalisability Theory to Online Movie Ratings

2013 ◽  
Vol 55 (3) ◽  
pp. 413-436 ◽  
Author(s):  
Ling Peng ◽  
Geng Cui ◽  
Chunyu Li
Keyword(s):  
Measurement Theory ◽  
Performance Evaluations ◽  
Movie Industry ◽  
Main Effect ◽  
Consumer Ratings ◽  
Movie Ratings ◽  
Professional Critics ◽  
The Impact ◽  
Generalisability Theory ◽  
Movie Performance

This study employs a new measurement theory (i.e. Generalisability Theory) to investigate the comparative influence of early movie ratings from professional critics versus ordinary consumers on latent movie performance. The empirical results show that both ordinary consumers and critics have great impact on the latent movie performance. In particular, the main effect of rater sources and the two-way interaction between raters and movies are substantial contributors to the variation in movie performance, with the contribution from ordinary consumers even more substantial than that from professional critics. However, professional critics provide more reliable ratings (a higher G coefficient) than ordinary consumers. Moreover, we found that genre familiarity is an important factor that moderates the differential effect of these two sources of ratings. Professional critic ratings contribute more to the total variance of movie performance evaluations in the case of less familiar genres, while ordinary consumer ratings contribute more to that in the case of more familiar genres. The aggregate level validity (correlation) results for each rater source indicate that professional critics consistently provide better concurrent and predictive validity than ordinary consumers. While our analyses focused on the impact of two sources of ratings on movie performance evaluations, the findings have implications not limited to the movie industry. They are also applicable to the broad category of experience goods such as music, restaurants, video games and books, where consumers could seek opinion from both experts and ordinary consumers.

scholarly journals Analysis of the impact of FEC techniques on a multicast video streaming service over LTE

2015 ◽  
Author(s):  
Alejandro de la Fuente ◽  
Carlos M. Lentisco ◽  
Luis Bellido ◽  
Raquel Perez Leal ◽  
Encarna Pastor ◽  
...  
Keyword(s):  
Video Streaming ◽  
Streaming Service ◽  
Multicast Video Streaming ◽  
The Impact

The Study on Indexing Techniques in Data Warehouse

2010 ◽  
Vol 439-440 ◽  
pp. 1505-1510
Author(s):  
Li Chen
Keyword(s):  
Performance Evaluation ◽  
Data Warehouse ◽  
Hot Spot ◽  
Performance Evaluations ◽  
Variable Size ◽  
Indexing Techniques ◽  
Speed Up ◽  
The Impact ◽  
Time And Space Complexity ◽  
Size Data

Nowadays, data warehouse has already become the hot spot in database studies. Indexes can potentially speed up a variety of operations in a data warehouse. In this paper, we present several relatively mature index techniques in data warehouse. Then, we give a comparison between them on performance evaluations. This paper focuses on the performance evaluation of three data warehouse queries with three different indexing techniques and to observe the impact of variable size data with respect to time and space complexity.

On the impact of user mobility on peer-to-peer video streaming

2008 ◽  
Vol 15 (6) ◽  
pp. 54-62 ◽  
Author(s):  
Igor Moraes ◽  
Miguel Elias Campista ◽  
Luis Henrique Costa ◽  
Otto Carlos Duarte ◽  
Jairo Duarte ◽  
...  
Keyword(s):  
Video Streaming ◽  
Peer To Peer ◽  
User Mobility ◽  
The Impact

The Impact of Video Streaming on Mathematics Performance

2007 ◽  
Vol 56 (2) ◽  
pp. 134-144 ◽  
Author(s):  
Franklin J. Boster ◽  
Gary S. Meyer ◽  
Anthony J. Roberto ◽  
Lisa Lindsey ◽  
Rachel Smith ◽  
...  
Keyword(s):  
Video Streaming ◽  
Mathematics Performance ◽  
The Impact
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