No-reference spatio-temporal activity difference PSNR estimation
Monitoring and maintaining acceptable Quality of Experience for end-users are main purposes for video service providers. Multicast network error transmission can critically degrade the perceived visual quality. This paper presents a novel no-reference video quality estimation using spatial and...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2016
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/54519/ http://irep.iium.edu.my/54519/ http://irep.iium.edu.my/54519/ http://irep.iium.edu.my/54519/1/54519.pdf http://irep.iium.edu.my/54519/2/54519-No-Reference%20Spatio-temporal%20Activity%20Difference%20PSNR%20Estimation_SCOPUS.pdf |
| Summary: | Monitoring and maintaining acceptable Quality of
Experience for end-users are main purposes for video service
providers. Multicast network error transmission can
critically degrade the perceived visual quality. This paper
presents a novel no-reference video quality estimation using
spatial and temporal perceptual activity over multicast IEEE
802.11n. This allows real-time monitoring and detection of
visual degradations caused by network error transmission.
The spatial and temporal perceptual activity features are
extracted from each frame which subjected to network error
transmission conditions. These features are implemented in
the proposed method to produce video quality estimation and
compared against the performance of full-reference objective
video quality metrics. The proposed method is shown to be
well correlated over a wide range of packet error rates and
demonstrates that video quality can be detected by using
spatial and temporal perceptual activity features with high
accuracy which allows maintaining quality perceived by the
end-users. |
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