Development of HTTP-based multivision video streaming server and benchmark evaluation

Author(s):  
Y. Wakisaka ◽  
H. Kasai
Author(s):  
Martin Zimmermann ◽  
Gilbert Seilheimer

The media streaming server technology have been developed in the recent past using free software and open source approaches. But commercial approaches are preferred by certain multimedia big enterprises. These enterprises dominate the mobile media delivery business. For this reason we think it is interesting to discover the main characteristics of the principal commercial platforms to deliver mobile video streaming to mobile devices and its main key features: Media and delivery components. We will give our vision on: Real Networks’ Helix Media delivery components based on RTSP and Microsoft’s IIS Media Services based on HTTP. The aim of this book chapter is to provide detailed insight into these different streaming approaches and how these platforms and protocols aid in building flexible streaming applications for mobile devices. A comparison among these approaches is also provided and also we present the delivery of video streaming to Apple mobile devices in the two commercial approaches.


2013 ◽  
Vol 411-414 ◽  
pp. 960-965 ◽  
Author(s):  
Jun Li ◽  
Jun Chen ◽  
Ming Zhe Li ◽  
Ling Fang Wang ◽  
Hong Ni

In this paper, we focused on the architecture of video streaming based on multi-core processor. Compared with traditional video streaming server, multi-core architecture has a number of advantages: (1) according to system requirements, its flexible to add or remove executing core, (2) modules or units which consume much CPU resources can be configured to run concurrently on several cores, (3) multi-core architecture is fault-tolerant, and (4) the multi-core architecture fits well to future process technologies, more cores will be available in advanced process technologies, meanwhile the complexity per core does not increase. In order to improve the efficiency of video streaming and promote the concurrence number of tasks, we proposed a pipeline-parallel hybrid multi-core architecture on multi-core processor. We implemented the video streaming system with proposed architecture, and provided evidences of 48% outperformance based on Cavium OCTEON CN5860 multi-core processor than full parallel architecture.


Compiler ◽  
2013 ◽  
Vol 2 (2) ◽  
Author(s):  
Wahyu Irawan ◽  
Denny Dermawan ◽  
Nurcahyani Dewi Retnowati

The geographical position of Indonesia is located in an earthquake-prone area that is potentially most earthquake-tsunami, it takes a transmission medium to connect the cameramonitoring results between the sender and receiver of information or data that may provide information to the natural disasters. The transmission media can be a media streaming seawater and alarm monitoring that is connected with vibration sensor that functions as a medium for early warning of natural disasters. From the test results it can be concluded that the alarm system warning of earthquakes, able to work well as vibration sensor detects vibration. As well as video streaming process can run well on a LAN network using HTTP protocol 8080. Society as a client can access the video streaming server via the address specified by the application server.


2014 ◽  
Vol 7 (1) ◽  
Author(s):  
I Ketut Agung Enriko

With the proliferation of video streaming services, now internet TV has become a popular service on the Internet. Catch-up TV is an attractive service in internet TV, where user who misses a live programme can watch it later. Meanwhile, not all streaming protocols, by default, are able to support catch-up TV application. This paper explains how to develop catch-up TV application in RTSP/RTMP streaming protocol, by doing shell-script programming and using Wowza streaming engine, on Linux-based streaming server. The research result has been implemented in UseeTV, one of the largest commercial internet TV service in Indonesia.


2012 ◽  
pp. 737-763
Author(s):  
Ghaida A. Al-Suhail ◽  
Martin Fleury ◽  
Salah M. Saleh Al-Majeed

All-IP networks are under development with multimedia services in mind. Video multicast is an efficient way to deliver one video simultaneously to many users over such heterogeneous wired-to-wireless networks, such as in wireless IP applications where a mobile terminal communicates with an IP server through a wired IP network in tandem with a wireless network. Unicast video streaming is also an attractive way to deliver time-shifted TV to mobile devices. This Chapter presents a simple cross-layer model that leads to the optimal throughput to multiple users for multicasting video over a heterogeneous network. An adaptive forward-error-correction scheme is applied at the byte-level as well as at the packet-level to reduce channel errors. The results show that a server can significantly adapt to the bandwidth and FEC codes to maximize the video quality of service. For unicast streaming, the Chapter presents a single negative acknowledgment scheme in which a video stream is transmitted over a heterogeneous network from a streaming server to a mobile device in a WiMAX network. The broadband streaming system is compared to several candidate solutions based on originally wired network congestion controllers. Multi-connection streaming is also investigated.


2019 ◽  
Vol 11 (7) ◽  
pp. 2049 ◽  
Author(s):  
Raza Hasan ◽  
Sellappan Palaniappan ◽  
Salman Mahmood ◽  
Babar Shah ◽  
Ali Abbas ◽  
...  

Higher educational institutes (HEI) are adopting ubiquitous and smart equipment such as mobile devices or digital gadgets to deliver educational content in a more effective manner than the traditional approaches. In present works, a lot of smart classroom approaches have been developed, however, the student learning experience is not yet fully explored. Moreover, module historical data over time is not considered which could provide insight into the possible outcomes in the future, leading new improvements and working as an early detection method for the future results within the module. This paper proposes a framework by taking into account module historical data in order to predict module performance, particularly the module result before the commencement of classes with the goal of improving module pass percentage. Furthermore, a video streaming server along with blended learning are sequentially integrated with the designed framework to ensure correctness of teaching and learning pedagogy. Simulation results demonstrate that by considering module historical data using time series forecasting helps in improving module performance in terms of module delivery and result outcome in terms of pass percentage. Furthermore, the proposed framework provides a mechanism for faculties to adjust their teaching style according to student performance level to minimize the student failure rate.


Author(s):  
Ghaida A. Al-Suhail ◽  
Martin Fleury ◽  
Salah M. Saleh Al-Majeed

All-IP networks are under development with multimedia services in mind. Video multicast is an efficient way to deliver one video simultaneously to many users over such heterogeneous wired-to-wireless networks, such as in wireless IP applications where a mobile terminal communicates with an IP server through a wired IP network in tandem with a wireless network. Unicast video streaming is also an attractive way to deliver time-shifted TV to mobile devices. This Chapter presents a simple cross-layer model that leads to the optimal throughput to multiple users for multicasting video over a heterogeneous network. An adaptive forward-error-correction scheme is applied at the byte-level as well as at the packet-level to reduce channel errors. The results show that a server can significantly adapt to the bandwidth and FEC codes to maximize the video quality of service. For unicast streaming, the Chapter presents a single negative acknowledgment scheme in which a video stream is transmitted over a heterogeneous network from a streaming server to a mobile device in a WiMAX network. The broadband streaming system is compared to several candidate solutions based on originally wired network congestion controllers. Multi-connection streaming is also investigated.


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