Finding iconic images
US8542950B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 2, 2009 |
| Grant date | Sep 24, 2013 |
| Priority date | — |
| Expiry date | Oct 29, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/583
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Iconic images for a given object or object category may be identified in a set of candidate images by using a learned probabilistic composition model to divide each candidate image into a most probable rectangular object region and a background region, ranking the candidate images according to the maximal composition score of each image, removing non-discriminative images from the candidate images, clustering highest-ranked candidate images to form clusters, wherein each cluster includes images having similar object regions according to a feature match score, selecting a representative image from each cluster as an iconic image of the object category, and causing display of the iconic image. The composition model may be a Naïve Bayes model that computes composition scores based on appearance cues such as hue, saturation, focus, and texture. Iconic images depict an object or category as a relatively large object centered on a clean or uncluttered contrasting background.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.