Datasets for AVC (H.264) and HEVC (H.265) evaluation of dynamic adaptive streaming over HTTP (DASH)

Quinlan, Jason J.; Zahran, Ahmed H.; Sreenan, Cormac J.

doi:10.1145/2910017.2910625

Cited by 43 publications

(34 citation statements)

References 9 publications

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“…Since the most important thing in the video-streaming is to reduce the data size so that files occupy less space and the overall bandwidth is reduced as to increase the rate of transmission, it is better to use H.265 as it provides all these specifications [25]. Therefore, the focus of the experts is now rapidly moving towards H.265, so as to match the needs of the healthcare facilities in a faster and more appropriate manner.…”

Section: Switching Towards H265mentioning

confidence: 99%

Revolutionizing Telemedicine by Instilling H.265

Munawar¹,

Awan²,

Khalid³

et al. 2017

IJIGSP

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Abstract-The aim of telemedicine system is to diagnose patients remotely; this includes healthcare provision to patients in far flung areas. The process of remote diagnosis is mainly dependent on bandwidths which are absolutely essential in terms of communications via the networks. Such communications have to be carefully monitored, because randomly sending data across the network and loading of packets as direct stream of cameras would result in chocking the bandwidth. Hence it is extremely important to make sure that the data is compressed so that there is minimum usage of bandwidth. But this has to be done in a way that maintains the quality at its best. This retention of good quality along with minimizing the usage of data is done by means of compression the streams obtained through cameras and then decompressing the data at the other end. This purpose was previously achieved by H.264 codec. Our major target was up gradation of the existing codec by introducing the latest; H.265. The Libde265 (Decoder) and the x265 (encoder) libraries have been used for the purpose of developing the H.265 codec. The H265 is an advanced codec, having better quality and ability to achieve far better compression than its predecessor. It has been shown through the algorithm and coding of H.265 that is has better compressing ability and the quality is maintained during the transmission of videos. This is highly desirable for the field of telemedicine as it can make improvements in providing healthcare services by easing the transmission of data in the form of videos from the patient end to the doctor's end.

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Section: Switching Towards H265mentioning

confidence: 99%

Revolutionizing Telemedicine by Instilling H.265

Munawar¹,

Awan²,

Khalid³

et al. 2017

IJIGSP

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“…Dash dataset [13] 2 , where videos are encoded at {235, 375, 560, 750, 1050, 1750, 2350, 3000, 3850, 4300}. We used multiple videos in our evaluation as we were interested in investigating the interaction between bandwidth changes and temporal variation in rate demands of different videos.…”

Section: Evaluation Setupmentioning

confidence: 99%

ARBITER: Adaptive rate-based intelligent HTTP streaming algorithm

Zahran

Sreenan

2016

2016 IEEE International Conference on Multimedia &Amp; Expo Workshops (ICMEW)

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Dynamic Adaptive streaming over HTTP (DASH) is widely used by content providers for video delivery and dominates traffic on cellular networks. The inherent variability in both video bitrate and network bandwidth negatively impacts the user Quality of Experience (QoE), motivating the design of better DASH-compliant adaptation algorithms. In this paper we present ARBITER, a novel streaming adaptation algorithm that explicitly integrates the variations in both video and network dynamics in its adaptation decisions. Our simulation-based performance evaluation, using real video content and cellular bandwidth traces, shows that ARBITER achieves an excellent tradeoff among streaming metrics in terms of received video quality, stall count, stall duration, and switching dynamics, leading to a relative improvement of 17-45% in user QoE in comparison to state-of-the-art algorithms

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“…These changes are added in the "ipv4-list-routing.cc" source file in the NS3. Our simulated video sessions use 15 different five-minute videos from the Dash dataset [12] 4 , where videos are encoded with 4-second segment at the following rates {235, 375, 560, 750, 1050, 1750, 2350, 3000, 3850, 4300}.…”

Section: A Testbed Setupmentioning

confidence: 99%

Impact of the LTE scheduler on achieving good QoE for DASH video streaming

Zahran

Quinlan

Ramakrishnan

et al. 2016

2016 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)

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Dynamic adaptive video over HTTP (DASH) is fast becoming the protocol of choice for content providers for their online video streaming delivery. Concurrently, dependence on cellular Long Term Evolution (LTE) networks is growing to serve user demands for bandwidth-hungry applications, especially video. Each LTE base station's (eNodeB) scheduler assigns wireless resources to individual clients. Several alternative schedulers have been proposed, especially to meet the user's desired quality of experience (QoE) with video. In this paper, we investigate the impact of the scheduler on DASH performance, motivated by the fact that video performance and the underlying traffic models are different from other HTTP/TCP applications. We use our laboratory testbed employing real video content and streaming clients, over a simulated ns-3 LTE network. We quantify the impact of the scheduler and show that it has a significant impact on key video streaming performance metrics such as stalls and QoE, for different client adaptation algorithms. Additionally, we show the impact of user mobility within a cell, which has the side-effect of improving performance by mitigating long-term fading effects. Our detailed assessment of four LTE schedulers in ns-3 shows that the proportional fair scheduler achieves the best overall user experience, although somewhat disadvantaging static cell-edge users

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Datasets for AVC (H.264) and HEVC (H.265) evaluation of dynamic adaptive streaming over HTTP (DASH)

Cited by 43 publications

References 9 publications

Revolutionizing Telemedicine by Instilling H.265

Revolutionizing Telemedicine by Instilling H.265

ARBITER: Adaptive rate-based intelligent HTTP streaming algorithm

Impact of the LTE scheduler on achieving good QoE for DASH video streaming

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