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    Towards Using Visual Attributes to Infer Image Sentiment Of Social Events

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    2017-Ahsan-TUVAIISSE.pdf (5.169Mb)
    Date
    2017
    Author
    Ahsan, Unaiza
    De Choudhury, Munmun
    Essa, Irfan
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    Abstract
    Widespread and pervasive adoption of smartphones has led to instant sharing of photographs that capture events ranging from mundane to life-altering happenings. We propose to capture sentiment information of such social event images leveraging their visual content. Our method extracts an intermediate visual representation of social event images based on the visual attributes that occur in the images going beyond sentiment-specific attributes. We map the top predicted attributes to sentiments and extract the dominant emotion associated with a picture of a social event. Unlike recent approaches, our method generalizes to a variety of social events and even to unseen events, which are not available at training time. We demonstrate the effectiveness of our approach on a challenging social event image dataset and our method outperforms state-of-the-art approaches for classifying complex event images into sentiments.
    URI
    http://hdl.handle.net/1853/60098
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    • Computational Perception & Robotics [213]
    • Computational Perception & Robotics Publications [213]

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