Skip to content

CTI-VISION/PERR

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 

Repository files navigation

PERR

Pairwise Emotional Relationship Recognition in Drama Videos: Dataset and Benchmark, ACM MM 2021
Xun Gao, Yin ZHao, Jie Zhang, Longjun Cai

We propose a new task named Pairwise Emotional Relationship Recognition as well as the dataset called ERATO. The task of PERR is defined as identifying the category of emotional relationship between two interactive characters in a given video clip. The category definition of emotional relationship in ERATO dataset have two scales: one is coarse, including positive, neutral and negative, and the other is fine-grained, including hostile, tense, mild, intimate and neutra.

Code and Dataset will come in soon, or contact the corresponding author Yin Zhao (yinzhao.zy@alibaba-inc.com).

Dataset Request

Please sign and stamp on the agreement, then email it to Xun Gao (gaoxun.gx@alibaba-inc.com)

Cite

If you find this paper useful for your research, please consider citing:

@INPROCEEDINGS{gao2021perr,
title={Pairwise Emotional Relationship Recognition in Drama Videos: Dataset and Benchmark},
author={Xun Gao and Yin Zhao and Jie Zhang and Longjun Cai},
year={2021},
booktitle={Proceedings of the 29th ACM International Conference on Multimedia (MM '21), October 20--24, 2021, Virtual Event, China}
}

About

A new task named Pairwise Emotional Relationship Recognition

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published