Studying aesthetics in photographic images using a computational approach
US8755596B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 5, 2012 |
| Grant date | Jun 17, 2014 |
| Priority date | — |
| Expiry date | Jul 5, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/771
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The aesthetic quality of a picture is automatically inferred using visual content as a machine learning problem using, for example, a peer-rated, on-line photo sharing Website as data source. Certain visual features of images are extracted based on the intuition that they can discriminate between aesthetically pleasing and displeasing images. A one-dimensional support vector machine is used to identify features that have noticeable correlation with the community-based aesthetics ratings. Automated classifiers are constructed using the support vector machines and classification trees, with a simple feature selection heuristic being applied to eliminate irrelevant features. Linear regression on polynomial terms of the features is also applied to infer numerical aesthetics ratings.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.