(5.34 MB) Abstract
Student: Aniol Lidon
Advisors: Petia Radeva (UB) and Xavier Giró-i-Nieto (UPC)
Program: Master in Computer Vision
Grade: A (9.8/10.0)
This project generates visual summaries of events depicted from egocentric photos taken with a wearable camera. These summaries are addressed to mild-dementia patients in order to exercise their memory in a daily base. The main contribution is an iterative approach that guarantees the semantic diversity of the summary and a novel soft metric to assess subjective results. Medical experts validated the proposed solution with a Mean Opinion Score of 4.6 out of of 5.0. The flexibility and quality of the solution was also tested in the 2015 Retrieving Diverse Social Images Task from the scientific international benchmark, MediaEval.
