User-adaptive mobile video streaming using MPEG-DASH

ICET 2014

In this paper we discuss the potential effects of using various segment durations of the available contents within a simulated mobile environment. OPNET modeler was used to implement a real-time test platform for mobile video streaming using OPNET system in the loop component (SITL). The realtime test platform was then used to evaluate the performance of the requests for different segment size. Dynamic Adaptive Streaming over HTTP (DASH) protocol was used to provide different test cases for video content with different segment sizes. In our experiment, we used different segments of different sizes (4, 8, and 12 sec.). Our comparison criteria include client download throughput (Bandwidth utilization), and CPU consumption. We identify the different trade-offs to be made in order to optimize the usage of available resources.

2020 International Wireless Communications and Mobile Computing (IWCMC)

Nowadays, multimedia streaming traffic reaches 71 % from the mobile data traffic over the world and most of the multimedia services use Dynamic adaptive streaming over HTTP (DASH) to adjust video delivery to the dynamic network environment and achieve higher user Quality of Experience (QoE) levels. Moreover, 90 % of the video traffic is consumed by smart devices equipped with multiple network interfaces (Wifi, 3G, and 4G) known as multi-homed devices. In this paper, we propose a new DASH-parallel streaming solution, which exploits the diversity of access network connections to improve video quality over DASH protocol. Experimental Results show that our proposed approach improves the perceived QoE in different network conditions, without requiring further energy expenditure. Index Terms-MPEG-DASH,multi-homing and parallel streaming.

2016 IEEE International Conference on Communications (ICC), 2016

Over the past few years, adaptive bitrate streaming protocols, such as DASH, have risen to enhance the End-Users' experience towards video consumption over the Internet. Current methods perform a smoother playback (i.e., fewer re-buffering states) trading off with quality fluctuations due to the client-server link state. The proposed work goes a step further and introduces an innovative lightweight streaming solution by taking advantage of bandwidth aggregation over multiple paths using multiple content sources at the same time. This pragmatic evolving approach outperforms the QoE delivered by current DASH-based or P2P-based solutions and leverages the scope of action made available to the media delivery chain actors. The proposed solution has been implemented and is compared to a DASH-based approach used in most existing VoD use-cases through a first set of experiments. Results demonstrate the strong advantages in terms of quality delivered at the End-User's side and buffer occupancy. Discussion on the necessary trade-offs is also tackled.

Journal of systems architecture, 2003

Journal 4 Research - J4R Journal, 2016

The increasing use of digital video has put into perspective the storage requirements for a large number of video files. Different qualities of videos are available and each of these requires different storage areas. Different variety of devices having different pixel densities uses these files and accordingly has varying video processing capabilities. This paper presents a novel multimedia video encoding/decoding algorithm which is responsive to the device and responds to the device capabilities. This involves a lightweight , multi-layered approach whereby the video streams are divided into different layers and these are differentially loaded as per the quality requirements. This differential loading involves the progressive decoding algorithm for the video stream and henceforth a single file to be used vary the bit rate depending on several factors like the device processing capabilities, available memory, screen width and pixel density for different quality requirements. By in cooperating this method to WebRTC framework, the quality of video can be varied according to the network congestions. Our analysis reveals that this method is far more efficient than transcoding-on-air method which is used by multimedia servers which require special hardware support. For normal servers which use HTML5 for playback of video, this method reduces the total bandwidth required and saves a lot of storage space which results in smooth streaming over the web. This new approach makes the video files adaptive to the different devices on which they are running.

Communications …, 2002

Advances in Pervasive Computing and Networking

Video streaming has become a popular form of transferring video over the Internet. With the emergence of mobile computing needs, a successful video streaming solution demands 1) uninterrupted services even with the presence of mobility and 2) adaptive video delivery according to current link properties. In this paper we study the need and evaluate the performance of adaptive video streaming in vertical handoff scenarios. We created a simple handoff environment with Universal Seamless Handoff Architecture (USHA), and used Video Transfer Protocol (VTP) to adapt video streaming rates according to the "Eligible Rate Estimates". Using testbed measurements experiments, we verify the importance of service adaptation, as well as show the improvement of user-perceived video quality, via adapting video streaming in the vertical handoffs.

IEEE Transactions on Broadcasting, 2016

Currently, dynamic adaptive streaming over HTTP (DASH) standard is used to change the video resolution according to the network capacity of the end user's. However, if the video resolution changes frequently, the attention of the users can be affected decreasing their quality-of-experience (QoE). In this context, this paper proposes a no-reference video quality metric that takes three impairment factors into account, initial buffering delay, temporal interruptions or pauses, and video resolution changes during a video transmission. Also, the temporal locations of pauses and resolution changes are considered. In order to perform this task, extensive subjective tests were conducted. Experimental results show that the evaluators' QoE is highly correlated with the frequency of pauses, video resolution changes and initial delay. Based on these results a video streaming quality metric for DASH services (VsQM DASH) is formulated and implemented on PC and mobile hand-held devices. Finally, the performance of VsQM DASH is validated with additional subjective tests reaching a person correlation coefficient of 0.99. Furthermore, experimental results demonstrated that the proposed metric has low complexity because it is based on application level parameters and its energy consumption is negligible in relation to the energy consumed by the video player; therefore, can be easily implemented in consumer electronic devices.

International Journal of Computer Applications, 2018

Dynamic adaptive streaming via HTTP (DASH) has been widely disseminated over the Internet especially under the circumstances of the time varying network, which it is still the biggest challenge for providing smoothly video streaming with high quality. In DASH system, after the downloading process of a segment is completed, the player estimates the available network bandwidth by calculating the download throughput and adapting the video bitrate level based on its estimations. At client side, the DASH player uses an Adaptive Bitrate Algorithm (ABR) to choose the suitable bitrate for next segment based on current conditions. However, these adaptive algorithms discard the fact that the segment sizes greatly vary for a given video bitrate. Hence they may fail to predict the time needed for downloading the next segment. In this paper, an adaptive bitrate algorithm is proposed based on the video segment size as well as the network bandwidth estimation and the current buffer occupancy in order to accurately predict the time needed to download the next segment. Simulation results show that the proposed scheme is able to predict the download time. Also we compared the proposed scheme with other conventional schemes, we found that our proposed scheme outperforms others in

International Journal of Autonomous and Adaptive Communications Systems, 2019