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: | Proceeding Paper |
| Language: | English English |
| Published: |
IEEE
2016
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/54519/ http://irep.iium.edu.my/54519/1/54519.pdf http://irep.iium.edu.my/54519/2/54519-No-Reference%20Spatio-temporal%20Activity%20Difference%20PSNR%20Estimation_SCOPUS.pdf |
| _version_ | 1848784426922672128 |
|---|---|
| author | Abdul Rahman, Farah Diyana Ibrahim, Ahmad Imran |
| author_facet | Abdul Rahman, Farah Diyana Ibrahim, Ahmad Imran |
| author_sort | Abdul Rahman, Farah Diyana |
| building | IIUM Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T16:37:04Z |
| format | Proceeding Paper |
| id | iium-54519 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:37:04Z |
| publishDate | 2016 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-545192019-03-04T08:33:48Z http://irep.iium.edu.my/54519/ No-reference spatio-temporal activity difference PSNR estimation Abdul Rahman, Farah Diyana Ibrahim, Ahmad Imran T Technology (General) 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. IEEE 2016 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/54519/1/54519.pdf application/pdf en http://irep.iium.edu.my/54519/2/54519-No-Reference%20Spatio-temporal%20Activity%20Difference%20PSNR%20Estimation_SCOPUS.pdf Abdul Rahman, Farah Diyana and Ibrahim, Ahmad Imran (2016) No-reference spatio-temporal activity difference PSNR estimation. In: 6th International Conference on Computer and Communication Engineering (ICCCE 2016), 25th-27th July 2016, Kuala Lumpur. http://ieeexplore.ieee.org/document/7808326/ 10.1109/ICCCE.2016.68 |
| spellingShingle | T Technology (General) Abdul Rahman, Farah Diyana Ibrahim, Ahmad Imran No-reference spatio-temporal activity difference PSNR estimation |
| title | No-reference spatio-temporal activity difference PSNR estimation |
| title_full | No-reference spatio-temporal activity difference PSNR estimation |
| title_fullStr | No-reference spatio-temporal activity difference PSNR estimation |
| title_full_unstemmed | No-reference spatio-temporal activity difference PSNR estimation |
| title_short | No-reference spatio-temporal activity difference PSNR estimation |
| title_sort | no-reference spatio-temporal activity difference psnr estimation |
| topic | T Technology (General) |
| url | 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 |