Where’s Your Focus: Personalized Attention

MPhil Thesis Defence


Title: "Where’s Your Focus: Personalized Attention"

By

Miss Sikun LIN


Abstract

Human visual attention is subjective and biased according to the personal 
preference of the viewer, however, current works of saliency detection are 
general and objective, without counting the factor of the observer. This will 
make the attention prediction for a particular person not accurate enough. In 
this work, we propose PANet, a convolutional network that predicts saliency in 
images with personal preference. The model consists of two streams which share 
common feature extraction layers, and one stream is responsible for saliency 
prediction, while the other is adapted from detection model and used to fit 
user preference. Experimental results on augmented PASCAL-S and SALICON dataset 
confirm that PANet can predict saliency area according to input preference 
vectors. Compared with other general saliency prediction models, the model with 
ability of fitting user preference will provide more benefits to either 
augmented reality (AR) or recommendation applications.


Date:			Thursday, 29 June 2017

Time:			10:00am - 12:00noon

Venue:			Room 2612B
 			Lifts 31/32

Committee Members:	Dr. Pan Hui (Supervisor)
 			Prof. James Kwok (Chairperson)
 			Dr. Yangqiu Song


**** ALL are Welcome ****