loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Joan Sosa-Garcia and Francesca Odone

Affiliation: Università degli Studi di Genova, Italy

Keyword(s): Content-based Image Retrieval, Image Description, Embedding Space Information.

Abstract: This paper proposes a new approach for embedding spatial information into a Bag of Features image descriptor, primarily meant for image retrieval. The method is conceptually related to Spatial Pyramids but instead of requiring fixed and arbitrary sub-regions where to compute region-based BoF, it relies on an adaptive procedure based on multiple partitioning of the image in four quadrants (the NE, NW, SE, SW regions of the image). To obtain a compact and efficient description, all BoF related to the same quadrant are averaged, obtaining four descriptors which capture the dominant structures of the main areas of the image, and then concatenated. The computational cost of the method is the same as BoF and the size of the descriptor comparable to BoF, but the amount of spatial information retained is considerable, as shown in the experimental analysis carried out on benchmarks.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.221.174.248

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Sosa-Garcia, J. and Odone, F. (2015). Mean BoF per Quadrant - Simple and Effective Way to Embed Spatial Information in Bag of Features. In Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: VISAPP; ISBN 978-989-758-090-1; ISSN 2184-4321, SciTePress, pages 297-304. DOI: 10.5220/0005281002970304

@conference{visapp15,
author={Joan Sosa{-}Garcia. and Francesca Odone.},
title={Mean BoF per Quadrant - Simple and Effective Way to Embed Spatial Information in Bag of Features},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: VISAPP},
year={2015},
pages={297-304},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005281002970304},
isbn={978-989-758-090-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: VISAPP
TI - Mean BoF per Quadrant - Simple and Effective Way to Embed Spatial Information in Bag of Features
SN - 978-989-758-090-1
IS - 2184-4321
AU - Sosa-Garcia, J.
AU - Odone, F.
PY - 2015
SP - 297
EP - 304
DO - 10.5220/0005281002970304
PB - SciTePress