Understanding the Emotional Impact of Images Jia JIA Computer Science, Tsinghua University Joint work with Xiaohui WANG, Peiyun HU, Sen WU, Jie TANG and Lianhong CAI
Framework: Images -Aesthetic Effects -Emotions Model: Factor Graphs for images in Social Networks
App1: Emotion Distribution on Flickr Before Thanksgiving 2011 VS During Thanksgiving holiday Happy, Cheerful, and Peaceful 100,000 Images from Flickr
App2: Modify Images with Emotional Words Happy Natural Clear Original Image Summe r? Autum n? Winter? More than 180 different effects
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Modeling Emotions via Aesthetic Effects How to characterize levels of emotional impact? We propose a novel notion of using aesthetic effects (quantified in image-scale space) as an intermediate layer to model the high level emotional semantics of images. Middle Level High Level
What affective model to predict the emotional impact? Large-scale Dataset: 100,000 images in social networks with comments as emotional tag. Model: semi-supervised factor graph model to incorporate color- based features, aesthetic effect, social features and emotional impact. Jie Tang, et al., Learning to Infer Social Ties in Large Networks. In proceeding of ECML-PKDD 2011 Modeling Social Network via Factor Graphs