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A Proposed adaptive rate algorithm to Administrate the Video Buffer Occupancy for Smooth Video Streaming 1

引用

10th International Conference on Internet and Distributed Computing Systems (IDCS)

作者： Jabbar, Saba Qasim Kadhim, Dheyaa Jasim Li, Yu Huazhong Univ Sci & Technol Wuhan Natl Lab Optoelect Div Commun & Intelligent Networks Sch Elect & Informat Wuhan 430074 Hubei Peoples R China Univ Baghdad Dept Comp Engn Baghdad Iraq Univ Baghdad Dept Elect Engn Baghdad Iraq

ISBN: (数字)9783319977959

ISBN: (纸本)9783319977942;9783319977959

Video streaming has become an irreplaceable technology in modern smart devices especially with the appearance of dynamic streaming over HTTP (DASH). However, the fluctuating and instability of wireless networks is still one of the greatest challenges to video streaming process. Video quality deteriorates by the amount of time that video streaming process has stopped playing because of the buffer starvation state. In this work, an adaptive rate algorithm is proposed for getting smooth video playback continuity by monitoring the available bandwidth and administrating the video buffer occupancy. Most of the conventional algorithms try to fill the video buffer quickly with available video segments which it may degrade the quality of experience (QoE) since these video segments may have low bitrate versions. So our proposed algorithm administrates the video buffer occupancy and maintains its filling with segments of high quality versions by estimating the available throughput and measuring the video buffer level. The estimation of the available throughput for the next segments is done based on the previously observed throughput of the last downloaded segment that keeps the buffer at accepted level. Through the simulation results, we checked effectiveness and robustness of our proposed algorithm under three different network bandwidth conditions namely: step-down, long term fluctuation and sudden-drop conditions. Simulation results show that the proposed algorithm has fast reaction to these cases through adapting the video bitrate accordingly and maintain the video buffer away from the risk of underflow. Also we compared the proposed algorithm with other conventional algorithms in terms of average video bitrates, number of video bitrate switches and number of playback interruptions. We found that our proposed algorithm outperforms these algorithms in achieving high video bitrates, low number of video bitrate switches and minimum number of playback interruptions.

关键词： Video streaming Video buffer Quality of experience (QoE) adaptive rate algorithm

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An adaptive Bitrate algorithm Based on Estimation and Video Adaptation for Improving QoE in DASH

An Adaptive Bitrate Algorithm Based on Estimation and Video ...

引用

2018 International Conference on Computer Science, Electronics and Communication Engineering（CSECE2018）

作者： Saba Qasim Jabbar Dheyaa Jasim Kadhim Yu Li School of Electronics and Information Huazhong University of Science and Technology Wuhan National Laboratory for Optoelectronics Division of Communication and Intelligent Networks Electrical Engineering Department University of Baghdad

Dynamic adaptive streaming over HTTP(DASH) is widely used by content providers for video delivery and dominates traffic on cellular networks. The variation in both video bitrate and network bandwidth badly impacts on the user Quality of Experience(QoE), so recent works is going to submitting better design of DASH adaptation algorithms. In this work, an adaptive bitrate algorithm is proposed which incorporates the network state, the application state and the video variety conditions to adapt video quality under time varying wireless system. The proposed algorithm consists of two main units: estimation unit and video adaptation unit. During the estimation unit, a new attribute is included that scales the buffer occupancy estimation and the throughput estimation based on the variations in the current buffer level and measured throughput of previous download segments. While during the video adaptation unit, the selection of video bitrate is done based on both the measurements at estimation unit and a target level. The simulation results show that the proposed algorithm significantly outperforms the other rate adaptation algorithms in terms of providing maximum download bit rates, minimum number of bitrates switches and the maximum utilization of available bandwidth while maintaining the playback buffer level within limits without any playback interruptions.

关键词： video streaming DASH,video buffer adaptive rate algorithm QoE

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A Compensatory Fuzzy Neural Network Modeling Method Based On Particle Swarm Clustering

引用

3rd International Conference on Measuring Technology and Mechatronics Automation (ICMTMA 2011)

作者： Man Chun-tao Wang Tian-feng Sun Xiao-bo Yang Xin-xin Cui Jia Harbin Univ Sci & Technol Sch Automat Harbin 150080 Peoples R China Liao Ning Univ Tradit Chinese Med Sch Pharmacy Dalian 1166000 Peoples R China

ISBN: (纸本)9783037850190

According to modeling problem for complex systems, a compensatory fuzzy neural network (CFNN) modeling method based on particle swarm clustering is proposed: the particle swarm clustering is used to automatically separate the space of input-output data, obtain the numbers of inference rules of fuzzy model and find fuzzy rules. Based on the rules, we modified fuzzy reasoning process and established initial structure of compensatory fuzzy neural network. Then using adaptive rate algorithm optimized initial network parameters, which can obtain a faster training speed and more precision. Simulation results show that the proposed network has successfully modeled the oxidation decomposition reaction process.

关键词： compensatory fuzzy neural network particle swarm clustering adaptive rate algorithm CHP Decomposition reaction

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