XLR (piXel Loss Rate): a Lightweight Indicator to Measure Video QoE in IP Networks
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arXiv
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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866911773668409344 |
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| author | Díaz, César Pérez, Pablo Cabrera, Julián Ruiz, Jaime García, Narciso |
| author_facet | Díaz, César Pérez, Pablo Cabrera, Julián Ruiz, Jaime García, Narciso |
| contents | A novel Key Quality Indicator for video delivery applications, XLR (piXel Loss Rate), is defined, characterized, and evaluated. The proposed indicator is an objective measure that captures the effects of transmission errors in the received video, has a good correlation with subjective Mean Opinion Scores, and provides comparable results with state-of-the-art Full-Reference metrics. Moreover, XLR can be estimated using only a lightweight analysis on the compressed bitstream, thus allowing a No-Reference operational method. Therefore, XLR can be used for measuring the quality of experience without latency at any network location. Thus, it is a relevant tool for network planning, specially in new high-demanding scenarios. The experiments carried out show the outstanding performance of its linear-dimension score and the reliability of the bitstream-based estimation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_05820 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | XLR (piXel Loss Rate): a Lightweight Indicator to Measure Video QoE in IP Networks Díaz, César Pérez, Pablo Cabrera, Julián Ruiz, Jaime García, Narciso Image and Video Processing A novel Key Quality Indicator for video delivery applications, XLR (piXel Loss Rate), is defined, characterized, and evaluated. The proposed indicator is an objective measure that captures the effects of transmission errors in the received video, has a good correlation with subjective Mean Opinion Scores, and provides comparable results with state-of-the-art Full-Reference metrics. Moreover, XLR can be estimated using only a lightweight analysis on the compressed bitstream, thus allowing a No-Reference operational method. Therefore, XLR can be used for measuring the quality of experience without latency at any network location. Thus, it is a relevant tool for network planning, specially in new high-demanding scenarios. The experiments carried out show the outstanding performance of its linear-dimension score and the reliability of the bitstream-based estimation. |
| title | XLR (piXel Loss Rate): a Lightweight Indicator to Measure Video QoE in IP Networks |
| topic | Image and Video Processing |
| url | https://arxiv.org/abs/2402.05820 |