Predicting Image Emotion Distribution by Emotional Region

Yangyu Fan, Hansen Yang, Zuhe Li, Shu Liu

科研成果: 书/报告/会议事项章节会议稿件同行评审

8 引用 (Scopus)

摘要

Recent studies on image emotion prediction mainly focus on classifying images into a certain emotion category, but single label cannot reflect peoples' multiple emotion to image. To get more realistic results, we study image emotion distribution problem. In the most image emotion tasks, features are extracted from the whole image, but not each part makes contribution to emotion, so features from the whole image contain noises. In order to get discriminative features, we propose to leverage the heatmap generated by Fully Convolutional Networks (FCN) to select the Region of Interest (ROI) from an image which represents the image emotion most. Both high-level features and hand-crafted features from ROI are fused to train Support Vector Regressors (SVRs) to predict emotion distribution. Extensive experiments conducted on two widely used datasets demonstrate that emotional region is selected out through our method so that emotion distribution prediction performances are improved.

源语言英语
主期刊名Proceedings - 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018
编辑Wei Li, Qingli Li, Lipo Wang
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781538676042
DOI
出版状态已出版 - 2 7月 2018
活动11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018 - Beijing, 中国
期限: 13 10月 201815 10月 2018

出版系列

姓名Proceedings - 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018

会议

会议11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2018
国家/地区中国
Beijing
时期13/10/1815/10/18

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