Visual descriptors based video quality assessment using outlier model
US9412024B2 · kind B2 · utility
4Cited by
3References
10Claims
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Key dates
| Filing date | Sep 13, 2013 |
| Grant date | Aug 9, 2016 |
| Priority date | — |
| Expiry date | Apr 14, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30168
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
System and method for identifying erroneous videos and assessing video quality is provided. Feature vectors are generated corresponding to a plurality of frames associated with the one or more videos. The feature vectors are subsequently subjected to anomaly detection to obtain first and second normalized path lengths and normalized anomaly measures. The first and second normalized path lengths and normalized anomaly measures are provided to a regression model to identify the erroneous video.
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