Summary of Story Generation From Visual Inputs: Techniques, Related Tasks, and Challenges, by Daniel A. P. Oliveira et al.
Story Generation from Visual Inputs: Techniques, Related Tasks, and Challenges
by Daniel A. P. Oliveira, Eugénio Ribeiro, David Martins de Matos
First submitted to arxiv on: 4 Jun 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 proposed survey examines various methodologies for generating engaging narratives from visual data, with applications in automated digital media consumption, assistive technologies, and interactive entertainment. The paper discusses the underlying principles, strengths, and limitations of these approaches, providing a comprehensive overview of the state-of-the-art in this area. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine you’re watching a movie or playing a video game, but instead of just seeing the action unfold, you get to control the story yourself! This is what’s possible with “visual storytelling” – the ability to create engaging narratives from visual data. A new survey looks at how we can make this happen using different approaches and techniques. |
