Efficient retrieval of anomalous events with priority learning
US9158976B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 18, 2011 |
| Grant date | Oct 13, 2015 |
| Priority date | — |
| Expiry date | Feb 12, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16B40/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Local models learned from anomaly detection are used to rank detected anomalies. The local models include image feature values extracted from an image field of video image data with respect to different predefined spatial and temporal local units, wherein anomaly results are determined by failures to fit to applied anomaly detection module local models. Image features values extracted from the image field local units associated with anomaly results are normalized, and image feature values extracted from the image field local units are clustered. Weights for anomaly results are learned as a function of the relations of the normalized extracted image feature values to the clustered image feature values. The normalized values are multiplied by the learned weights to generate ranking values to rank the anomalies.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.