Semantic Organization of Scenes Using Discriminant Structural Templates
Abstract
In this paper, we present a procedure for organizing real world scenes along semantic axes. The approach is based on the output energies of linear discriminant filters that take into account, or not, spatial information. We introduce three semantic axes along which pictures are ordered. The main semantic axis computes the degree of naturalness of a scene. Then, urban pictures are evaluated according to their degree of verticalness and natural scenes, according to their degree of openness. We observe the emergence of typical scene categories such as beach, mountain, skyscrapers, city center etc., along the axes.
Cite
Text
Torralba and Oliva. "Semantic Organization of Scenes Using Discriminant Structural Templates." IEEE/CVF International Conference on Computer Vision, 1999. doi:10.1109/ICCV.1999.790424Markdown
[Torralba and Oliva. "Semantic Organization of Scenes Using Discriminant Structural Templates." IEEE/CVF International Conference on Computer Vision, 1999.](https://mlanthology.org/iccv/1999/torralba1999iccv-semantic/) doi:10.1109/ICCV.1999.790424BibTeX
@inproceedings{torralba1999iccv-semantic,
title = {{Semantic Organization of Scenes Using Discriminant Structural Templates}},
author = {Torralba, Antonio and Oliva, Aude},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {1999},
pages = {1253},
doi = {10.1109/ICCV.1999.790424},
url = {https://mlanthology.org/iccv/1999/torralba1999iccv-semantic/}
}