Adaptive scalable video streaming in wireless networks

Xiang, Siyuan; Cai, Lin; Pan, Jianping

doi:10.1145/2155555.2155583

Cited by 61 publications

(44 citation statements)

References 13 publications

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“…In wireless streaming applications, the characteristics of the source, the quality of the channel, and the occupancy of the playback buffer play major roles in the target video quality. Automatic repeat request (ARQ) and forward error correction (FEC) are commonly used to improve the reliability of the wireless link [15]. To reduce the 3G traffic cost while maintain high video streaming quality, we have carefully devised the reward functions.…”

Section: Methodlogymentioning

confidence: 99%

Video Streaming over Wireless Networks using Efficient Real Time Adaptive Algorithm

Banarase¹,

Borkar²

2017

International Journal of Advanced Research in Computer and Comm

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Abstract:In this paper a real time adaptive algorithm is used for video streaming. A large number of live segmented adaptive HTTP video streaming services exist in the internet today. Managing the Quality-of-Experience (QoE) of video streaming for wireless clients is becoming increasingly important due to the rapid growth of video traffic on wireless networks. How efficiently and cost-effectively utilize multiple links to improve video streaming quality needs investigation. In order to maintain high video streaming quality while reducing the wireless service cost, in this paper, the optimal video streaming process with multiple links is formulated as a Markov Decision Process (MDP). The reward function is designed to consider the quality of service (QoS) requirements for video traffic, such as the start-up latency, playback fluency, average playback quality, playback smoothness and wireless service cost. To solve the MDP in real time, we propose an adaptive, best-action search algorithm to obtain a sub-optimal solution.

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Section: Methodlogymentioning

confidence: 99%

Video Streaming over Wireless Networks using Efficient Real Time Adaptive Algorithm

Banarase¹,

Borkar²

2017

International Journal of Advanced Research in Computer and Comm

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“…Several recent studies have proposed mathematical model based adaptation methods in streaming video [17][18][19][20][21]. A mathematical model is proposed in [17] to calculate the underflow probability of VBR streaming under VBR channel based on initial delay and maximum buffer.…”

Section: Related Workmentioning

confidence: 99%

“…Nonetheless, neural networks are computationally complex and require large training data and long training time. Besides, Xiang et al [19] propose a rate adaptation method using the Markov Decision Process to obtain an optimal streaming strategy for VBR videos. Nevertheless, their proposal is not able to adapt to the real bandwidth changes and has no performance prediction.…”

Section: Related Workmentioning

confidence: 99%

“…Obviously, a very low value of the maximum version may result in a poor perceptual quality while a very high value may increase the chance of buffer underflow. In this section, we predict the quality performance of the streaming session based on the average version V that is calculated using (19) and the cumulative distribution function (CDF) of the versions (V) (V ∈ [1; max]) that is shown in (20). Based on the predicted probability of the versions throughout a streaming session, the maximum version could be decided for the session…”

Section: Quality Predictionmentioning

confidence: 99%

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SDP-Based Quality Adaptation and Performance Prediction in Adaptive Streaming of VBR Videos

Nguyen

Ngoc

et al. 2017

Advances in Multimedia

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Recently, various adaptation methods have been proposed to cope with throughput fluctuations in HTTP adaptive streaming (HAS). However, these methods have mostly focused on constant bitrate (CBR) videos. Moreover, most of them are qualitative in the sense that performance metrics could only be obtained after a streaming session. In this paper, we propose a new adaptation method for streaming variable bitrate (VBR) videos using stochastic dynamic programming (SDP). With this approach, the system should have a probabilistic characterization along with the definition of a cost function that is minimized by a control strategy. Our solution is based on a new statistical model where the future streaming performance is directly related to the past bandwidth statistics. We develop mathematical models to predict and develop simulation models to measure the average performance of the adaptation policy. The experimental results show that the prediction models can provide accurate performance prediction which is useful in planning adaptation policy and that our proposed adaptation method outperforms the existing ones in terms of average quality and average quality switch.

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“…In [5], how to reduce unnecessary video quality variations using a probing method to identify the effective available bandwidth was given. In [4], [8], the authors designed the optimal rate adaptation algorithm for streaming scalable video coding (SVC) over HTTP using MDP. With SVC, each video frame is encoded into a base layer and several enhancement layers.…”

Section: Background and Related Workmentioning

confidence: 99%

A Real-Time Adaptive Algorithm for Video Streaming over Multiple Wireless Access Networks

Xing

Xiang

Cai

2014

IEEE J. Select. Areas Commun.

Self Cite

104

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Abstract-Video streaming is gaining popularity among mobile users. The latest mobile devices, such as smart phones and tablets, are equipped with multiple wireless network interfaces. How to efficiently and cost-effectively utilize multiple links to improve video streaming quality needs investigation. In order to maintain high video streaming quality while reducing the wireless service cost, in this paper, the optimal video streaming process with multiple links is formulated as a Markov Decision Process (MDP). The reward function is designed to consider the quality of service (QoS) requirements for video traffic, such as the startup latency, playback fluency, average playback quality, playback smoothness and wireless service cost. To solve the MDP in real time, we propose an adaptive, best-action search algorithm to obtain a sub-optimal solution. To evaluate the performance of the proposed adaptation algorithm, we implemented a testbed using the Android mobile phone and the Scalable Video Coding (SVC) codec. Experiment results demonstrate the feasibility and effectiveness of the proposed adaptation algorithm for mobile video streaming applications, which outperforms the existing state-of-the-art adaptation algorithms.

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Adaptive scalable video streaming in wireless networks

Cited by 61 publications

References 13 publications

Video Streaming over Wireless Networks using Efficient Real Time Adaptive Algorithm

Video Streaming over Wireless Networks using Efficient Real Time Adaptive Algorithm

SDP-Based Quality Adaptation and Performance Prediction in Adaptive Streaming of VBR Videos

A Real-Time Adaptive Algorithm for Video Streaming over Multiple Wireless Access Networks

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