@inproceedings{4b90b5e227ea4a6990441c39f3cb5804,
title = "Hot or not: Exploring correlations between appearance and temperature",
abstract = "In this paper we explore interactions between the appearance of an outdoor scene and the ambient temperature. By studying statistical correlations between image sequences from outdoor cameras and temperature measurements we identify two interesting interactions. First, semantically meaningful regions such as foliage and reflective oriented surfaces are often highly indicative of the temperature. Second, small camera motions are correlated with the temperature in some scenes. We propose simple scene-specific temperature prediction algorithms which can be used to turn a camera into a crude temperature sensor. We find that for this task, simple features such as local pixel intensities outperform sophisticated, global features such as from a semantically-trained convolutional neural network.",
author = "Daniel Glasner and Pascal Fua and Todd Zickler and Lihi Zelnik-Manor",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 15th IEEE International Conference on Computer Vision, ICCV 2015 ; Conference date: 11-12-2015 Through 18-12-2015",
year = "2015",
month = feb,
day = "17",
doi = "10.1109/ICCV.2015.455",
language = "الإنجليزيّة",
series = "Proceedings of the IEEE International Conference on Computer Vision",
pages = "3997--4005",
booktitle = "2015 International Conference on Computer Vision, ICCV 2015",
}