TY - GEN
T1 - A mixed bag of emotions
T2 - IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015
AU - Peng, Kuan Chuan
AU - Chen, Tsuhan
AU - Sadovnik, Amir
AU - Gallagher, Andrew
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/10/14
Y1 - 2015/10/14
N2 - This paper explores two new aspects of photos and human emotions. First, we show through psychovisual studies that different people have different emotional reactions to the same image, which is a strong and novel departure from previous work that only records and predicts a single dominant emotion for each image. Our studies also show that the same person may have multiple emotional reactions to one image. Predicting emotions in 'distributions' instead of a single dominant emotion is important for many applications. Second, we show not only that we can often change the evoked emotion of an image by adjusting color tone and texture related features but also that we can choose in which 'emotional direction' this change occurs by selecting a target image. In addition, we present a new database, Emotion6, containing distributions of emotions.
AB - This paper explores two new aspects of photos and human emotions. First, we show through psychovisual studies that different people have different emotional reactions to the same image, which is a strong and novel departure from previous work that only records and predicts a single dominant emotion for each image. Our studies also show that the same person may have multiple emotional reactions to one image. Predicting emotions in 'distributions' instead of a single dominant emotion is important for many applications. Second, we show not only that we can often change the evoked emotion of an image by adjusting color tone and texture related features but also that we can choose in which 'emotional direction' this change occurs by selecting a target image. In addition, we present a new database, Emotion6, containing distributions of emotions.
UR - http://www.scopus.com/inward/record.url?scp=84959227024&partnerID=8YFLogxK
U2 - 10.1109/CVPR.2015.7298687
DO - 10.1109/CVPR.2015.7298687
M3 - Conference contribution
AN - SCOPUS:84959227024
T3 - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
SP - 860
EP - 868
BT - IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015
PB - IEEE Computer Society
Y2 - 7 June 2015 through 12 June 2015
ER -