A Mixed Bag of Emotions: Model, Predict, and Transfer Emotion Distributions
Abstract
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
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
