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Understanding the Emotional Impact of Images Jia JIA Computer Science, Tsinghua University Joint work with Xiaohui WANG, Peiyun HU, Sen WU, Jie TANG and.

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Presentation on theme: "Understanding the Emotional Impact of Images Jia JIA Computer Science, Tsinghua University Joint work with Xiaohui WANG, Peiyun HU, Sen WU, Jie TANG and."— Presentation transcript:

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2 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

3  Framework: Images -Aesthetic Effects -Emotions  Model: Factor Graphs for images in Social Networks

4 App1: Emotion Distribution on Flickr Before Thanksgiving 2011 VS During Thanksgiving holiday Happy, Cheerful, and Peaceful 100,000 Images from Flickr

5 App2: Modify Images with Emotional Words Happy Natural Clear Original Image Summe r? Autum n? Winter? More than 180 different effects

6 “Emotion Modifier” Welcome to download from iTunes Store! https://itunes.apple.com/us/app/emotion-modifier/id571639316

7 Thank you for your attention! Any Question? APP for iPad (support IOS 5.x ) : Emotion Modifier. Free Download! From https://itunes.apple.com/us/app/emotion-modifier/id571639316 https://itunes.apple.com/us/app/emotion-modifier/id571639316

8 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

9 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

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