Automatically computing emotions aroused from images through shape modeling
US9904869B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 30, 2016 |
| Grant date | Feb 27, 2018 |
| Priority date | — |
| Expiry date | Dec 30, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/10004
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Shape features in natural images influence emotions aroused in human beings. An in-depth statistical analysis helps to understand the relationship between shapes and emotions. Through experimental results on the International Affective Picture System (IAPS) dataset, evidence is presented as to the significance of roundness-angularity and simplicity-complexity on predicting emotional content in images. Shape features are combined with other state-of-the-art features to show a gain in prediction and classification accuracy. Emotions are modeled from a dimensional perspective in order to predict valence and arousal ratings, which have advantages over modeling the traditional discrete emotional categories. Images are distinguished vis-a-vis strong emotional content from emotionally neutral images with high accuracy. All of the methods and steps disclosed herein are implemented on a programmed digital computer, which may be a stand-alone machine or integrated into another piece of equipment such as a digital still or video camera including, in all embodiments, portable devices such as smart phones.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.