资源论文A Mixed Bag of Emotions: Model, Predict, and Transfer Emotion Distributions

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

2019-12-25 | |  46 |   43 |   0

Abstract

This paper explores two new aspects of photos andhuman emotions. First, we show through psychovisualstudies that different people have different emotional reac-tions to the same image, which is a strong and novel depar-ture from previous work that only records and predicts asingle dominant emotion for each image. Our studies alsoshow 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.

上一篇:Learning a Convolutional Neural Network for Non-uniform Motion Blur Removal

下一篇:The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification

用户评价
全部评价

热门资源

  • Learning to learn...

    The move from hand-designed features to learned...

  • A Mathematical Mo...

    Direct democracy, where each voter casts one vo...

  • Stratified Strate...

    In this paper we introduce Stratified Strategy ...

  • Rating-Boosted La...

    The performance of a recommendation system reli...

  • Hierarchical Task...

    We extend hierarchical task network planning wi...