Exploring Principles-of-Art Features For Image Emotion Recognition

By Sicheng Zhao, Yue Gao, Xiaolei Jiang, Hongxun Yao, Tat-seng Chua, Xiaoshuai Sun. ACM Multimedia, 2014

358 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/9e1024c983839c423a45df8854259cd92204ae96

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Jianchao Yang
2. Jiebo Luo
3. Quanzeng You
4. Hailin Jin

In Computer Vision and Pattern Recognition

1. Jiebo Luo
2. Luc Van Gool
3. Ming-Hsuan Yang
4. Dacheng Tao
5. Trevor Darrell
6. Xiaogang Wang
7. Li Fei-Fei
8. Andrew Zisserman

Citations in the corpus

• Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark (2016, methodology): “Furthermore, by exploring the principles of art, Zhao et al. (2014) defined more robust and invariant visual features, such as balance , variety , and gradation .”