Network-status aware quality adaptation algorithm for improving real-time video streaming over the internet

2016 ◽  
Vol 76 (24) ◽  
pp. 26129-26152 ◽  
Author(s):  
Ala’ F. Khalifeh ◽  
Majid A. Al-Taee ◽  
Ayman N. Murshed
2021 ◽  
Vol 1 (1) ◽  
pp. 121-133
Author(s):  
Hiba K. Abdulazeez ◽  
Nasser N. Khamiss

The main challenge of multimedia applications is how to transmission the Ultra-High Definition (UHD) video streaming in real time over the internet. The real time video streaming suffer from difficulties to be flexible and efficiency cause the wide variation of the available internet bandwidth. To avoid the problems that introduces with internet, in this work the HEVC with required video network adaptive streaming are proposed and tested using different six levels of three UHD video (4K, FHD, 720p, 4CIF, CIF and QCIF). From different experiments that applied find the optimal configuration of H.265 encoding features for six levels to obtain the required PSNR with range (32-38 dB). The important part in this project is a controller that worked incorporate with the encoder (H.265) to obtain the video streaming adaptation on the available bandwidth of the channel. The controller continuously reads the status of channel buffer, then choosing the proper level of video to be transmitted over the channel. The work architecture is content two parts: First, the H.265 codec that apply on the three raw videos with optimal parameters configuration to compress them and get videos with lower bit rate and acceptable quality. Second, the compressed videos, based to controller.....     


2021 ◽  
Author(s):  
Colin Xialin Huang

There are increasing demands for real-time streaming video applications over the Internet. However, the current generation Internet was not originally designed for real-time streaming applications and only provides best-effort services, so there are many challenges in the deployment of video streaming applications over the Internet. This thesis investigates a hybrid end-to-end rate adaptation framework that provides application-level enhancements to achieve Quality of Service (QoS) for MPEG-4 FGS-Encoded video bandwidth on the path and the terminal process capabilities based on the packet-loss ratio and then determine their subscribing rate of video streams. The sender adjusts the transmission rate based on the packet-loss ratio and then determine their subscribing rate of video streams. The sender adjusts the transmission rate based on the proportion of load status feedbacks from the receivers. The sender and the receivers act together to minimize the possibility of network congestion by adjusting the transmission rate to match the network conditions. This framework achieves inter-receiver fairness in a heterogeneous multicast environment and improves QoS stability for MPEG-4 FGS video streaming over the Internet.


2019 ◽  
Vol 2 (2) ◽  
pp. 101
Author(s):  
Arnes Sembiring

Abstract - In this study, an IoT-based door security system was proposed which facilitated homeowners to open and close doors and unlock doors through the internet. The system is also equipped with a real time video streaming feature so that the owner can save the environment around the door and ensure the person at the door before opening it. The Raspberry Pi is used as the main controller of the system that provides web pages for users and signatories to access Arduino Uno boards. Arduino Uno controls the servo to control the door. The camera used in this study is a Raspberry Camera with 5 MP resolution. From the results of the tests carried out, the results of the system that have been made can work well. Expected full service and response to changes in users on web pages is also quite fast. Streaming video runs smoothly at 30 fps with a resolution of 640x480.Keywords - Raspberry Pi, Streaming Video, Internet of Things, Door Control 


2002 ◽  
Author(s):  
Hiromasa Yanagihara ◽  
Akio Yoneyama ◽  
Yasuyuki Nakajima ◽  
Hiroki Furuya

2019 ◽  
Vol 16 (3) ◽  
pp. 0667
Author(s):  
Hassan Et al.

       The most popular medium that being used by people on the internet nowadays is video streaming.  Nevertheless, streaming a video consumes much of the internet traffics. The massive quantity of internet usage goes for video streaming that disburses nearly 70% of the internet. Some constraints of interactive media might be detached; such as augmented bandwidth usage and lateness. The need for real-time transmission of video streaming while live leads to employing of Fog computing technologies which is an intermediary layer between the cloud and end user. The latter technology has been introduced to alleviate those problems by providing high real-time response and computational resources near to the client at the network boundary. The present research paper proposes priority weighted round robin (PWRR) algorithm for streaming operations scheduling in the fog architecture. This will give preemptive for streaming live video request to be delivered in a very short response time and real-time communication. The results of experimenting the PWRR in the proposed architecture display a minimize latency and good quality of live video requests which has been achieved with bandwidth changes as well as meeting all other clients requests at the same time


2021 ◽  
Author(s):  
Colin Xialin Huang

There are increasing demands for real-time streaming video applications over the Internet. However, the current generation Internet was not originally designed for real-time streaming applications and only provides best-effort services, so there are many challenges in the deployment of video streaming applications over the Internet. This thesis investigates a hybrid end-to-end rate adaptation framework that provides application-level enhancements to achieve Quality of Service (QoS) for MPEG-4 FGS-Encoded video bandwidth on the path and the terminal process capabilities based on the packet-loss ratio and then determine their subscribing rate of video streams. The sender adjusts the transmission rate based on the packet-loss ratio and then determine their subscribing rate of video streams. The sender adjusts the transmission rate based on the proportion of load status feedbacks from the receivers. The sender and the receivers act together to minimize the possibility of network congestion by adjusting the transmission rate to match the network conditions. This framework achieves inter-receiver fairness in a heterogeneous multicast environment and improves QoS stability for MPEG-4 FGS video streaming over the Internet.


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