GPI Seminar Series: Eva Mohedano

Eva Mohedano, Investigating EEG for Saliency and Segmentation Applications in Image Processing  
Monday September 16th, at 11:00, Seminar Room D5-007

The main objective of this work is to implement a new way to compute saliency maps and to locate an object in an image by using a brain-computer interface. To achieve this, the project is centered in designing the proper way to display the different parts of the images to the users in such a way that they generate measurable reactions. Once an image window is shown, the objective is to compute a score based on the EEG activity and compare its result with the current automatic methods to estimate saliency maps. Also, the aim of this work is to use the EEG map as a seed for another segmentation algorithm that will extract the object from the background in an image. This study provides evidence that BCI are useful to find the location of the objects in a simple images via straightforward EEG analysis and this represents the starting point to locate objects in more complex images.

This work has been developed as Eva's master thesis at Dublin City University, under the co-advise of Prof. Noel O'Connor, Kevin McGuinness and Xavier Giró-i-Nieto (UPC).