Preserving Streaming Video Quality in Mobile Wireless LAN networks

Author(s):  
T. Van Leeuwen ◽  
I. Moerman ◽  
P. Demeester
Author(s):  
Arun Sankisa ◽  
Katerina Pandremmenou ◽  
Peshala V. Pahalawatta ◽  
Lisimachos P. Kondi ◽  
Aggelos K. Katsaggelos

The authors present two methods for examining video quality using the Structural Similarity (SSIM) index: Iterative Distortion Estimate (IDE) and Cumulative Distortion using SSIM (CDSSIM). In the first method, three types of slices are iteratively reconstructed frame-by-frame for three different combinations of packet loss and the resulting distortions are combined using their probabilities to give the total expected distortion. In the second method, a cumulative measure of the overall distortion is computed by summing the inter-frame propagation impact to all frames affected by a slice loss. Furthermore, the authors develop a No-Reference (NR) sparse regression framework for predicting the CDSSIM metric to circumvent the real-time computational complexity in streaming video applications. The two methods are evaluated in resource allocation and packet prioritization schemes and experimental results show improved performance and better end-user quality. The accuracy of the predicted CDSSIM values is studied using standard performance measures and a Quartile-Based Prioritization (QBP) scheme.


2015 ◽  
Vol 76 (12) ◽  
Author(s):  
Mohd Fitri Ramli ◽  
Latifah Munirah Kamarudin ◽  
David Lorater Ndzi ◽  
Azizi Harun ◽  
Jamie Siregar Cynthia Turner ◽  
...  

This paper presents the study of video streaming over wireless channel based on experimental measurements in the presence of fading caused by the physical environmental. The emulation of video streaming file through wireless channel is measured using IxChariot software from Ixia. The obtained emulation of signal quality from the video streaming file was measured in terms of network throughput, RSSI and packet loss. The results show the credibility of wireless network for streaming video file in agricultural area. The statistical results show that there is significant negative effect of physical environmental condition on wireless video streaming and received video quality.


2020 ◽  
Vol 48 (1) ◽  
pp. 27-28
Author(s):  
Francesco Bronzino ◽  
Paul Schmitt ◽  
Sara Ayoubi ◽  
Guilherme Martins ◽  
Renata Teixeira ◽  
...  

Traditional networks are designed to meet the needs of streaming video on the Internet. Relatively high standards of broadband connections and video broadband services make the best effort for certain specific video information and transmission methods to appear at any time to reduce network constraints. Video quality is directly related to the basic ability of the phone to send and receive data from time to time for playback. Record videos from your mobile phone are facing various challenges that have been overcome by a variety of methods. In an extremely robust and unpredictable environment, transversal hardware provides adequate video. Conventional networks are designed to meet the needs of streaming video over the Internet. Relatively high standards of broadband connections and video broadband services make the best effort for certain specific video information and transmission methods to appear at any time to reduce network constraints. Video quality is directly related to the basic ability of the phone to send and receive data from time to time for playback. Record videos from your mobile phone are facing various challenges that have been overcome by a variety of methods. In an extremely robust and unpredictable environment, transversal hardware provides adequate video.


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