Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Oliveira, D. A. P., Ribeiro, E. & Martins de Matos, D. (2025). Story generation from visual inputs: Techniques, related tasks, and challenges. Information. 16 (9)
Exportar Referência (IEEE) 
D. A. Oliveira et al.,  "Story generation from visual inputs: Techniques, related tasks, and challenges", in Information, vol. 16, no. 9, 2025
Exportar BibTeX 
@article{oliveira2025_1766328610835,
	author = "Oliveira, D. A. P. and Ribeiro, E. and Martins de Matos, D.",
	title = "Story generation from visual inputs: Techniques, related tasks, and challenges",
	journal = "Information",
	year = "2025",
	volume = "16",
	number = "9",
	doi = "10.3390/info16090812",
	url = "https://www.mdpi.com/journal/information"
}
Exportar RIS 
TY  - JOUR
TI  - Story generation from visual inputs: Techniques, related tasks, and challenges
T2  - Information
VL  - 16
IS  - 9
AU  - Oliveira, D. A. P.
AU  - Ribeiro, E.
AU  - Martins de Matos, D.
PY  - 2025
SN  - 2078-2489
DO  - 10.3390/info16090812
UR  - https://www.mdpi.com/journal/information
AB  - 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. These tasks share common challenges with Visual Story Generation (VSG) 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.
ER  -