Retrieval of Images with Objects of Specific Size, Location, and Spatial Configuration
Abstract
An approach to image retrieval using spatial configurations is presented. The goal is to search the database for images that contain similar objects (image-patches) with a given configuration, size and position. The proposed approach consists of creating localized representations robust to segmentation variations, and a sub-graph matching method to compare the query with the database items. Localized object representations are created using a community detection method that groups visually similar segments. Extensive experimental results on three challenging datasets are provided to demonstrate the feasibility of the approach.
Cite
Text
Pourian and Manjunath. "Retrieval of Images with Objects of Specific Size, Location, and Spatial Configuration." IEEE/CVF Winter Conference on Applications of Computer Vision, 2015. doi:10.1109/WACV.2015.133Markdown
[Pourian and Manjunath. "Retrieval of Images with Objects of Specific Size, Location, and Spatial Configuration." IEEE/CVF Winter Conference on Applications of Computer Vision, 2015.](https://mlanthology.org/wacv/2015/pourian2015wacv-retrieval/) doi:10.1109/WACV.2015.133BibTeX
@inproceedings{pourian2015wacv-retrieval,
title = {{Retrieval of Images with Objects of Specific Size, Location, and Spatial Configuration}},
author = {Pourian, Niloufar and Manjunath, B. S.},
booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
year = {2015},
pages = {960-967},
doi = {10.1109/WACV.2015.133},
url = {https://mlanthology.org/wacv/2015/pourian2015wacv-retrieval/}
}