Image database indexing: Emotional impact assessing
Résumé
The goal of this work was to propose an efficient approach for emot
ional impact recognition based on CBIR
techniques (descriptors, image representation). The main
idea relies in classifying images according to their
emotion which can be ”Negative”, ”Neutral” or ”Positive”. E
motion is related to the image content and also
to the personal feelings. To achieve our goal we firstly need a
correct assessed image database. Our first
contribution is about this aspect. We proposed a set of 350 di
versifed images rated by people around the
world. Added to our choice to use CBIR methods, we studied the
impact of visual saliency for the subjective
evaluations and interest region segmentation for classific
ation. The results are really interesting and prove that
the CBIR methods are useful for emotion recognition. The cho
sen desciptors are complementary and their
performance is consistent on the database we have built and o
n IAPS, reference database for the analysis of the
image emotional impact