scholarly journals A no-reference bitstream-based perceptual model for video quality estimation of videos affected by coding artifacts and packet losses

2015 ◽  
Author(s):  
K. Pandremmenou ◽  
M. Shahid ◽  
L. P. Kondi ◽  
B. Lövström
Keyword(s):  
Video Quality ◽  
Packet Losses ◽  
Quality Estimation ◽  
Perceptual Model

scholarly journals A Model for Video Quality Assessment Considering Packet Loss for Broadcast Digital Television Coded in H.264

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Jose Joskowicz ◽  
Rafael Sotelo
Keyword(s):  
Packet Loss ◽  
Pearson Correlation ◽  
Video Quality ◽  
Ip Networks ◽  
High Variability ◽  
Digital Television ◽  
Packet Losses ◽  
Quality Estimation ◽  
Transport Stream ◽  
Proposed Model

This paper presents a model to predict video quality perceived by the broadcast digital television (DTV) viewer. We present how noise on DTV can introduce individual transport stream (TS) packet losses at the receiver. The type of these errors is different than the produced on IP networks. Different scenarios of TS packet loss are analyzed, including uniform and burst distributions. The results show that there is a high variability on the perceived quality for a given percentage of packet loss and type of error. This implies that there is practically no correlation between the type of error or the percentage of packets loss and the perceived degradation. A new metric is introduced, theweighted percentageof slice loss, which takes into account the affected slice type in each lost TS packet. We show that this metric is correlated with the video quality degradation. A novel parametric model for video quality estimation is proposed, designed, and verified based on the results of subjective tests in SD and HD. The results were compared to a standard model used in IP transmission scenarios. The proposed model improves Pearson Correlation and root mean square error between the subjective and the predicted MOS.

Video Quality Estimation for Mobile H.264/AVC Video Streaming

2008 ◽  
Vol 3 (1) ◽  
Author(s):  
Michal Ries ◽  
Olivia Nemethova ◽  
Markus Rupp
Keyword(s):  
Video Streaming ◽  
Video Quality ◽  
Quality Estimation

scholarly journals On the Performance of Video Quality Assessment Metrics under Different Compression and Packet Loss Scenarios

2014 ◽  
Vol 2014 ◽  
pp. 1-18 ◽  
Author(s):  
Miguel O. Martínez-Rach ◽  
Pablo Piñol ◽  
Otoniel M. López ◽  
Manuel Perez Malumbres ◽  
José Oliver ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Video Quality ◽  
Rate Distortion ◽  
Video Codec ◽  
Node Mobility ◽  
Packet Losses ◽  
Assessment Metrics ◽  
Assess Quality

When comparing the performance of video coding approaches, evaluating different commercial video encoders, or measuring the perceived video quality in a wireless environment, Rate/distortion analysis is commonly used, where distortion is usually measured in terms of PSNR values. However, PSNR does not always capture the distortion perceived by a human being. As a consequence, significant efforts have focused on defining an objective video quality metric that is able to assess quality in the same way as a human does. We perform a study of some available objective quality assessment metrics in order to evaluate their behavior in two different scenarios. First, we deal with video sequences compressed by different encoders at different bitrates in order to properly measure the video quality degradation associated with the encoding system. In addition, we evaluate the behavior of the quality metrics when measuring video distortions produced by packet losses in mobile ad hoc network scenarios with variable degrees of network congestion and node mobility. Our purpose is to determine if the analyzed metrics can replace the PSNR while comparing, designing, and evaluating video codec proposals, and, in particular, under video delivery scenarios characterized by bursty and frequent packet losses, such as wireless multihop environments.

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