Captioning Images Using Different Styles. Mathews, A. P. In Proceedings of the 23rd Annual ACM Conference on Multimedia Conference (Doctoral Symposium), pages 665–668, 2015. ACM.
Captioning Images Using Different Styles [pdf]Paper  abstract   bibtex   
I develop techniques that can be used to incorporate stylistic objectives into existing image captioning systems. Style is generally a very tricky concept to define, thus I concentrate on two specific components of style. First I develop a technique for predicting how people will name visual objects. I demonstrate that this technique could be used to generate captions with human like naming conventions. Full details are available in a recent publication. Second I outline a system for generating sentences which express a strong positive or negative sentiment. Finally I present two possible future directions which are aimed at modelling style more generally. These are learning to imitate an individuals captioning style and generating a diverse set of captions for a single image.
@inproceedings{mathews2015captioning,
    title={{Captioning Images Using Different Styles}},
    author={Mathews, Alexander Patrick},
    booktitle={Proceedings of the 23rd Annual {ACM} Conference on Multimedia Conference (Doctoral Symposium)},
    pages={665--668},
    year={2015},
    organization={ACM},
    abstract={I develop techniques that can be used to incorporate stylistic objectives into existing image captioning systems. Style is generally a very tricky concept to define, thus I concentrate on two specific components of style. First I develop a technique for predicting how people will name visual objects. I demonstrate that this technique could be used to generate captions with human like naming conventions. Full details are available in a recent publication. Second I outline a system for generating sentences which express a strong positive or negative sentiment. Finally I present two possible future directions which are aimed at modelling style more generally. These are learning to imitate an individuals captioning style and generating a diverse set of captions for a single image.},
    url_Paper={http://cm.cecs.anu.edu.au/documents/mathews2015captioning.pdf}
}
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