@mastersthesis {xCarne-Herreraa, title = {Visual Memorability for Egocentric Cameras}, year = {2016}, abstract = {

This project explores visual memorability of egocentric in different ways having three main\ contributions. The first and the main contribution of the project is a new tool visual\ memorability in egocentric images. This tool that consists in a web application that allows\ the annotation of the visual memorability associated to still images with an online game.\ The second contribution of this work is a convolutional neural network model for visual\ memorability prediction that adapts an off-the-shelf model to egocentric images. Moreover,\ a visualization study has been pursued to localize the regions of the images that are more\ memorable than others. With this maps a comparison with saliency maps and is explored.\ This part of the research opens a new branch in visual memorability that consists in use\ memorability maps for saliency prediction. Also the memorability of the images is related\ with a sentiment analysis applying a model that predicts that feature.\ The final contribution is related to join visual memorability of images with human\ behaviour and physical state, finding a relation between memory and some physiological\ signals as: heart rate, galvanic skin response and electroencephalographic signals.

Grade: A with honors (9.8/10.)

Visual Memorability for Egocentric Cameras from Xavier Giro
}, author = {Carn{\'e}-Herrera, Marc}, editor = {Gurrin, Cathal and Xavier Gir{\'o}-i-Nieto} }