@inproceedings{dbe7785f70314900a98d3846b5eab49a,
title = "Captioning images using different styles",
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 tech-nique 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 [16]. Second I outline a system for generating sentences which express a strong pos-itive 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 cap-tioning style and generating a diverse set of captions for a single image.",
keywords = "Caption generation, Image description, Object naming, Sentiment",
author = "Alexander Mathews",
note = "Publisher Copyright: {\textcopyright} 2015 ACM.; 23rd ACM International Conference on Multimedia, MM 2015 ; Conference date: 26-10-2015 Through 30-10-2015",
year = "2015",
month = oct,
day = "13",
doi = "10.1145/2733373.2807998",
language = "English",
series = "MM 2015 - Proceedings of the 2015 ACM Multimedia Conference",
publisher = "Association for Computing Machinery (ACM)",
pages = "665--668",
booktitle = "MM 2015 - Proceedings of the 2015 ACM Multimedia Conference",
address = "United States",
}