Predicting the Valence of a Scene from Observers' Eye Movements.

ABSTRACT: Multimedia analysis benefits from understanding the emotional content of a scene in a variety of tasks such as video genre classification and content-based image retrieval. Recently, there has been an increasing interest in applying human bio-signals, particularly eye movements, to recognize the emotional gist of a scene such as its valence. In order to determine the emotional category of images using eye movements, the existing methods often learn a classifier using several features that are extracted from eye movements. Although it has been shown that eye movement is potentially useful for recognition of scene valence, the contribution of each feature is not well-studied. To address the issue, we study the contribution of features extracted from eye movements in the classification of ima

SUBMITTER: R-Tavakoli H 

PROVIDER: S-EPMC4583411 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature