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.

从视觉数据中创建引人入胜的叙述对于自动化数字媒体消费、辅助技术和互动娱乐至关重要。该研究综述了用于生成这些叙述的方法学，重点讨论其原理、优势和局限性。该综述还涵盖了与自动故事生成相关的任务，如图像和视频字幕以及视觉问题回答，以及没有视觉输入的故事生成。这些任务与视觉故事生成存在共同的挑战，并为该领域使用的技术提供了灵感。我们对主要数据集和评估指标进行了分析，并提供了对其局限性的批评性观点。