Summary of Toward Accessible Comics For Blind and Low Vision Readers, by Christophe Rigaud (l3i) et al.
Toward accessible comics for blind and low vision readers
by Christophe Rigaud, Jean-Christophe Burie, Samuel Petit
First submitted to arxiv on: 11 Jul 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed research aims to fine-tune large language models using prompt engineering techniques, incorporating contextual information from comic strip images to generate accurate text descriptions. This involves leveraging existing computer vision and optical character recognition techniques to extract relevant features such as panels, characters, text, and reading order. By inferring character identification and generating a comic book script with context-aware panel descriptions, the researchers aim to enrich the content for audiobook and eBook production. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study wants to improve how computers understand comic books by using special language models that can learn from pictures and words together. They’ll take comic strip images, break them down into panels and characters, and use this information to create a written script with detailed descriptions of the characters, settings, and actions. This will make it easier to turn comics into audiobooks or eBooks with different voices for characters, sound effects, and more. |
Keywords
» Artificial intelligence » Prompt
