H.265 Codec over 4G Networks for Telemedicine System Application

Majeed, Salah M. Saleh Al; Askar, Shavan; Fleury, Martin

doi:10.1109/uksim.2014.59

Cited by 9 publications

(3 citation statements)

References 20 publications

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“…An evaluation for the use of HEVC over mobile networks is presented in [33]. In addition, HEVC is considered to be a highly effective encoding standard for some of the recent applications over LTE such as Telemedicine as suggested in [34].…”

Section: High Efficiency Video Coding (Hevc)mentioning

confidence: 99%

A Survey of Multimedia Streaming in LTE Cellular Networks

Ahmedin,

Ghosh,

Ghosal

2018

Preprint

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With the growing of Long Term Evolution (LTE) cellular networks and the increase in the demand of the video services, it is vital to consider the challenges in the streaming services from a different perspective. A perspective that focuses on the streaming services in light of cellular networks challenges, both per layer basis and across multiple layers as well. In this tutorial, we highlight the main challenges that faces the industry of video streaming in the context of cellular networks with a focus on LTE. We also discuss proposed solutions for these challenges while highlighting the limitations of these solutions and the conditions/assumptions required for these solution to deliver high performance. In addition, we show different work in cross layer optimization for video streaming and how it leads towards a more optimized end to end LTE networking for video streaming. Finally, we suggest different open research areas in the domain of video delivery over LTE networks that can significantly enhance the quality of streaming experience to the end user.

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Section: High Efficiency Video Coding (Hevc)mentioning

confidence: 99%

A Survey of Multimedia Streaming in LTE Cellular Networks

Ahmedin,

Ghosh,

Ghosal

2018

Preprint

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“…Recent research efforts on different types of networks include [10][11][12][13], which focus on the problem of medical video streaming over 4G cellular networks, as well as [14], which proposes a framework for transmitting medical multimedia over cognitive radio networks.…”

Section: Related Workmentioning

confidence: 99%

Scheduling for telemedicine traffic transmission over WLANs

Koutsakis

2017

Computer Communications

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The major disadvantage of the Enhanced Distributed Channel Access (EDCA, the contention-based channel access function of 802.11e) is that it is unable to guarantee priority access to higher priority traffic in the presence of significant traffic loads from low priority users. This problem is enhanced by the continuously growing number of multimedia applications and the popularity of Wireless Local Area Networks (WLANs). Hence, solutions in scheduling multimedia traffic transmissions need to take into account both the Quality of Service (QoS) requirements and the Quality of Experience (QoE) associated with each application, especially those of urgent traffic, like telemedicine, which carries critical information regarding the patients' condition. In this work, we propose an easy-to-implement token-based and self policing-based scheduling scheme combined with a mechanism designed to mitigate congestion. Our approach is shown to guarantee priority access to telemedicine traffic, to satisfy its QoS requirements (delay, packet dropping) and to offer high telemedicine video QoE while preventing bursty video nodes from over-using the medium.

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“…One of the main trends of modern mobile devices is to be equipped with a screen capable of playing videos with 1080p and higher resolutions (e.g. iPad Pro has a display screen with 2732x2048 resolution [3]) such as the 4K (2160p, 3840x2160). The growing demand for video streaming with higher resolutions poses a challenge to the current 4G mobile cellular network, given that the best average 4G user download rate of 9.12 Mbps is much lower than the typical 4K video bitrate of 35-45 Mbps at standard frame rate (24, 25, 30 fps) [4].…”

Section: Introductionmentioning

confidence: 99%

Framework and Challenges: H.265/HEVC Rate Control in Real-time Transmission over 5G Mobile Networks

Chen

Yang

Hao

et al. 2017

Proceedings of the 10th EAI International Conference on Mobile Multimedia Communications

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The newly emerging video coding standard H.265/HEVC, jointly developed by ITU and ISO, is being adopted by an increasing number of applications and platforms such as YouTube, Netflix, video conferencing, live broadcasting, etc. One of the major application scenarios is live broadcasting and real-time streaming over wireless networks, where network adaptability is a major challenge due to the instability/fluctuation of network bandwidth. Rate control has always been a main research area in live video streaming over wireless networks. While rate control has been extensively studied for previous video coding standards, such as H.263 and H.264/AVC, insufficient research has been done for H.265/HEVC. Also, due to the new features, tools, data structures, and algorithms introduced in H.265/HEVC to improve its coding efficiency, the algorithmic and computational complexities of its rate control schemes are greater than all its predecessors. The increasing complexities have hindered the adoption of H.265/HEVC in its real-time streaming over mobile wireless networks, such as 4G networks and the forthcoming 5G networks. In this research, the rate control algorithms/methodologies for H.265/HEVC and the corresponding mathematical modeling of each of its components will be investigated. Our goal is to develop low-complexity and highly-efficient rate control schemes for H.265/HEVC to improve its network adaptability and enable its applications to various mobile wireless streaming scenarios. The proposed rate control framework of H.265/HEVC encoder has three major components: precise target rate estimation, accurate bitrate allocation based on textural/motion complexities, and improved rate distortion optimization (RDO). In this paper, we also discuss a number of key research problems and challenges under this framework.

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H.265 Codec over 4G Networks for Telemedicine System Application

Cited by 9 publications

References 20 publications

A Survey of Multimedia Streaming in LTE Cellular Networks

A Survey of Multimedia Streaming in LTE Cellular Networks

Scheduling for telemedicine traffic transmission over WLANs

Framework and Challenges: H.265/HEVC Rate Control in Real-time Transmission over 5G Mobile Networks

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