An algorithm about spatial characteristic for non-reference video quality assessment based on visual characteristic

2018 ◽  
Author(s):  
Chao Guo ◽  
Yingyun Yang ◽  
Yong Ma
Keyword(s):  
Quality Assessment ◽  
Video Quality ◽  
Spatial Characteristic ◽  
Video Quality Assessment ◽  
Visual Characteristic

No-Reference Model for Video Quality Assessment Based on SVM

2013 ◽  
Vol 846-847 ◽  
pp. 1024-1030
Author(s):  
Li Li Wu ◽  
Chun Yan Yu
Keyword(s):  
Quality Assessment ◽  
Packet Loss ◽  
Loss Rate ◽  
Reference Model ◽  
Video Quality ◽  
Packet Loss Rate ◽  
Video Quality Assessment ◽  
Video Content ◽  
Temporal Complexity ◽  
Visual Characteristic

This paper focuses on the video distortion which is caused by the packet loss. Considering the relationship between the human visual perception which is caused by the packet loss and the visual characteristic of the video content, we present a no-reference model for video quality assessment based on Support Vector Machine. The feature vector of the SVM contain temporal complexity, spatial complexity, the average number of bits per frame and the packet loss rate. Temporal complexity, spatial complexity and the average number of bits per frame represent the visual characteristic of the video content. The value of the packet loss rate means the distortion which is caused by the packet loss intuitively. Experimental results show that this model has a good consistency with the subjective.

Attention Based Network For No-Reference UGC Video Quality Assessment

2021 ◽  
Author(s):  
Fuwang Yi ◽  
Mianyi Chen ◽  
Wei Sun ◽  
Xiongkuo Min ◽  
Yuan Tian ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Video Quality ◽  
Video Quality Assessment

Wireless Video Quality Assessment: A Study of Subjective Scores and Objective Algorithms

2010 ◽  
Vol 20 (4) ◽  
pp. 587-599 ◽  
Author(s):  
Anush Krishna Moorthy ◽  
Kalpana Seshadrinathan ◽  
Rajiv Soundararajan ◽  
Alan Conrad Bovik
Keyword(s):  
Quality Assessment ◽  
Video Quality ◽  
Video Quality Assessment ◽  
Wireless Video

Hybrid Distortion Ranking Tuned Bitstream-Layer Video Quality Assessment

2016 ◽  
Vol 26 (6) ◽  
pp. 1029-1043 ◽  
Author(s):  
Zhibo Chen ◽  
Ning Liao ◽  
Xiaodong Gu ◽  
Feng Wu ◽  
Guangming Shi
Keyword(s):  
Quality Assessment ◽  
Video Quality ◽  
Video Quality Assessment
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