Studying streaming video quality

2003 ◽  
Author(s):  
Zhiheng Wang ◽  
Sujata Banerjee ◽  
Sugih Jamin
Keyword(s):  
Video Quality ◽  
Streaming Video

SSIM-Based Distortion Estimation for Optimized Video Transmission over Inherently Noisy Channels

2016 ◽  
Vol 7 (3) ◽  
pp. 34-52 ◽  
Author(s):  
Arun Sankisa ◽  
Katerina Pandremmenou ◽  
Peshala V. Pahalawatta ◽  
Lisimachos P. Kondi ◽  
Aggelos K. Katsaggelos
Keyword(s):  
Video Transmission ◽  
Video Quality ◽  
Structural Similarity ◽  
Streaming Video ◽  
End User ◽  
Noisy Channels ◽  
Regression Framework ◽  
Improved Performance ◽  
Inter Frame ◽  
Distortion Estimate

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.

THE STUDY OF VEGETATION EFFECT ON WIRELESS STREAMING VIDEO FOR AGRICULTURAL MONITORING

2015 ◽  
Vol 76 (12) ◽  
Author(s):  
Mohd Fitri Ramli ◽  
Latifah Munirah Kamarudin ◽  
David Lorater Ndzi ◽  
Azizi Harun ◽  
Jamie Siregar Cynthia Turner ◽  
...  
Keyword(s):  
Video Streaming ◽  
Video Quality ◽  
Wireless Channel ◽  
Streaming Video ◽  
Signal Quality ◽  
Environmental Condition ◽  
Video File ◽  
Negative Effect ◽  
Wireless Video Streaming ◽  
Vegetation Effect

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.

Inferring Streaming Video Quality from Encrypted Traffic

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

scholarly journals Video Enhancement Techniques Employed Over the Decade for Reliable Communication

2019 ◽  
Vol 8 (11) ◽  
pp. 3987-3991
Keyword(s):  
Mobile Phone ◽  
Video Quality ◽  
Streaming Video ◽  
The Internet ◽  
Best Effort ◽  
Video Information ◽  
Broadband Services ◽  
Unpredictable Environment ◽  
High Standards ◽  
Basic Ability

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.

Recurrent and Dynamic Models for Predicting Streaming Video Quality of Experience

2018 ◽  
Vol 27 (7) ◽  
pp. 3316-3331 ◽  
Author(s):  
Christos G. Bampis ◽  
Zhi Li ◽  
Ioannis Katsavounidis ◽  
Alan C. Bovik
Keyword(s):  
Quality Of Experience ◽  
Dynamic Models ◽  
Video Quality ◽  
Streaming Video

scholarly journals Analysis Of Quality Of Service (Qos) Youtube Streaming Video Service In Wireless Network In The Environment Faculty Of Science And Technology Uin Sunan Kalijaga

2019 ◽  
Vol 7 (2) ◽  
pp. 30 ◽  
Author(s):  
Asep Wishnu ◽  
Bambang Sugiantoro
Keyword(s):  
Wireless Networks ◽  
Wireless Network ◽  
Packet Loss ◽  
Science And Technology ◽  
Video Quality ◽  
Streaming Video ◽  
Quality Level ◽  
Wireless Internet ◽  
Wired Networks ◽  
Delay Jitter

The growing number of internet users in Indonesia, making the number of users increasing especially video streaming on Youtube service. This increase is based on rapid technological developments, especially PCs, Laptops and Smartphones that use wireless or wireless internet access. The use of streaming video over wireless networks is different from cable networks Because The characteristics of wireless networks are limited Compared to wired networks, and the characteristics of streaming video transmissions that require different handling than traditional text, and the data transmissions. As a first step towards Achieving an optimum Internet network service effort, Applies Action Research This research method by utilizing video quality with 360p, 480p, and 720p. The QOS parameters Analyzed Consist of delay, jitter, throughput, packet loss and bandwidth using wireshark and NetTools for the testing phase. The results of analysis using QoS for streaming video shows the performance of wireless network services at UIN Sunan Kalijaga, Faculty of Science and Technology is still not maximal especially on video with 480p quality, that has a 20 ms delay and jitter quality level ms According -0.0269 to TIPHON is very good. The amount of throughput is 0:55 MBps throughput and the percentage is 3% and the packet loss value is 28%, if it is Categorized by TIPHON standardization bad this value falls into the category. For the average bandwidth used is 329 714 bps value.

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