Towards Emotion Retrieval in Egocentric PhotoStream

05/10/2019

∙

by   Estefania Talavera, et al.

∙

2

∙

share

The availability and use of egocentric data are rapidly increasing due to the growing use of wearable cameras. Our aim is to study the effect (positive, neutral or negative) of egocentric images or events on an observer. Given egocentric photostreams capturing the wearer's days, we propose a method that aims to assign sentiment to events extracted from egocentric photostreams. Such moments can be candidates to retrieve according to their possibility of representing a positive experience for the camera's wearer. The proposed approach obtained a classification accuracy of 75 deviation of 8 recognition in egocentric photostreams.