Add to ORKGThe advances in automatic facial expression recognition make it possible to mine and characterize large amounts of data, opening a wide research domain on behavioral understanding. In this paper, we leverage the use of a state-of-theart facial expression recognition technology to characterize users of a popular type of online social video, conversational vlogs. First, we propose the use of several activity cues to characterize vloggers based on frame-by-frame estimates of facial expressions of emotion. Then, we present results for the task of automatically predicting vloggers’ personality impressions using facial expressions and the Big-Five trait. Our results are promising, specially for the case of the Extraversion trait, and in addition ...
‘To know oneself is true progress’. While one's identity is difficult to be fully described, a key p...
14th European Conference on Computer Vision (ECCV) -- OCT 08-16, 2016 -- Amsterdam, NETHERLANDSFirst...
A variety of approaches have been recently proposed to automatically infer users' personality from t...
Social video sites where people share their opinions and feelings are increasing in popularity. The ...
The ubiquity of social media in our daily life, the intense user participation, and the explosion of...
While multimedia and social computing research have used crowdsourcing techniques to annotate object...
Research in psychology has suggested that behavior of individuals can be explained to a great extent...
Research in psychology has suggested that behavior of indi-viduals can be explained to a great exten...
In this study, we investigate the use of social media content as a domain to learn personality trait...
We address the study of interpersonal perception in social conversational video based on multifacete...
We introduce vlogs as a type of rich human interaction which is multimodal in nature and suitable fo...
Personality analysis is an important area of research in several fields, including psychology, psych...
We introduce vlogs as a type of rich human interaction which is multimodal in nature and suitable fo...
There has been little focus on nonverbal communication in social media advertising campaigns. We pro...
Thesis (Master's)--University of Washington, 2014Online social networks are very popular with millio...
‘To know oneself is true progress’. While one's identity is difficult to be fully described, a key p...
14th European Conference on Computer Vision (ECCV) -- OCT 08-16, 2016 -- Amsterdam, NETHERLANDSFirst...
A variety of approaches have been recently proposed to automatically infer users' personality from t...
Social video sites where people share their opinions and feelings are increasing in popularity. The ...
The ubiquity of social media in our daily life, the intense user participation, and the explosion of...
While multimedia and social computing research have used crowdsourcing techniques to annotate object...
Research in psychology has suggested that behavior of individuals can be explained to a great extent...
Research in psychology has suggested that behavior of indi-viduals can be explained to a great exten...
In this study, we investigate the use of social media content as a domain to learn personality trait...
We address the study of interpersonal perception in social conversational video based on multifacete...
We introduce vlogs as a type of rich human interaction which is multimodal in nature and suitable fo...
Personality analysis is an important area of research in several fields, including psychology, psych...
We introduce vlogs as a type of rich human interaction which is multimodal in nature and suitable fo...
There has been little focus on nonverbal communication in social media advertising campaigns. We pro...
Thesis (Master's)--University of Washington, 2014Online social networks are very popular with millio...
‘To know oneself is true progress’. While one's identity is difficult to be fully described, a key p...
14th European Conference on Computer Vision (ECCV) -- OCT 08-16, 2016 -- Amsterdam, NETHERLANDSFirst...
A variety of approaches have been recently proposed to automatically infer users' personality from t...