Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures (Extended Abstract)
Abstract
Automatic image description generation is a challenging problem that has recently received a large amount of interest from the computer vision and natural language processing communities. In this survey, we classify the known approaches based on how they conceptualise this problem and provide a review of existing models, highlighting their advantages and disadvantages. Moreover, we give an overview of the benchmark image-text datasets and the evaluation measures that have been developed to assess the quality of machine-generated descriptions. Finally we explore future directions in the area of automatic image description.
Cite
Text
Bernardi et al. "Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures (Extended Abstract)." International Joint Conference on Artificial Intelligence, 2017. doi:10.24963/IJCAI.2017/704Markdown
[Bernardi et al. "Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures (Extended Abstract)." International Joint Conference on Artificial Intelligence, 2017.](https://mlanthology.org/ijcai/2017/bernardi2017ijcai-automatic/) doi:10.24963/IJCAI.2017/704BibTeX
@inproceedings{bernardi2017ijcai-automatic,
title = {{Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures (Extended Abstract)}},
author = {Bernardi, Raffaella and Çakici, Ruket and Elliott, Desmond and Erdem, Aykut and Erdem, Erkut and Ikizler-Cinbis, Nazli and Keller, Frank and Muscat, Adrian and Plank, Barbara},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2017},
pages = {4970-4974},
doi = {10.24963/IJCAI.2017/704},
url = {https://mlanthology.org/ijcai/2017/bernardi2017ijcai-automatic/}
}