VietHoang1512/ICDAR-EmoRecCom

Multimodal Emotion Recognition on Comics scenes (ICDAR 2021)

21
/ 100
Experimental

This project helps content creators, marketers, or researchers analyze the emotional impact of comic book scenes. It takes images and transcribed text from comic panels as input and outputs the emotional labels (e.g., angry, happy, sad) expressed within those scenes. Anyone interested in understanding emotions conveyed in visual narratives, particularly comics, would find this useful.

No commits in the last 6 months.

Use this if you need to automatically identify and categorize emotions from comic book images and their associated dialogue or descriptions.

Not ideal if your primary goal is emotion recognition on non-comic images or general text, as this is specifically tailored for multimodal comic scene analysis.

comic-analysis emotion-recognition content-analysis visual-narrative media-studies
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 8 / 25

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Stars

9

Forks

1

Language

Python

License

Last pushed

Feb 17, 2022

Commits (30d)

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