Summary of Image Captioning in News Report Scenario, by Tianrui Liu et al.
Image Captioning in news report scenario
by Tianrui Liu, Qi Cai, Changxin Xu, Bo Hong, Jize Xiong, Yuxin Qiao, Tsungwei Yang
First submitted to arxiv on: 24 Mar 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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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 paper presents a novel approach to image captioning specifically designed for celebrity photographs, aiming to enhance news industry practices and facilitate more accurate dissemination of information. By leveraging Computer Vision (CV) and Natural Language Processing (NLP), the proposed framework focuses on generating detailed captions that identify celebrities captured in images, addressing a long-standing gap in existing work that primarily targets understanding scenes and actions. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about creating better captions for photos of famous people. Right now, most captioning systems just describe what’s happening in the picture, but they don’t really try to name the celebrities shown. That’s important because news outlets and other media want to add more details to their stories. The researchers are trying to make a system that can do this by combining computer vision and natural language processing. Their goal is to help news organizations generate more accurate and interesting content, which will give readers a better understanding of the news. |
Keywords
» Artificial intelligence » Image captioning » Natural language processing » Nlp
