Story Generation from Visual Inputs: Techniques, Related Tasks, and Challenges
It provides a comprehensive overview for researchers and practitioners in automated media and assistive technologies, but is incremental as a survey paper.
This survey examines techniques for generating narratives from visual data, covering methodologies, related tasks, datasets, and evaluation metrics, while highlighting their limitations.
Creating engaging narratives from visual data is crucial for automated digital media consumption, assistive technologies, and interactive entertainment. This survey covers methodologies used in the generation of these narratives, focusing on their principles, strengths, and limitations. The survey also covers tasks related to automatic story generation, such as image and video captioning, and visual question answering, as well as story generation without visual inputs. These tasks share common challenges with visual story generation and have served as inspiration for the techniques used in the field. We analyze the main datasets and evaluation metrics, providing a critical perspective on their limitations.