VietHoang1512/ICDAR-EmoRecCom
Multimodal Emotion Recognition on Comics scenes (ICDAR 2021)
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.
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Language
Python
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Last pushed
Feb 17, 2022
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