An Unsupervised IR Approach Based Density Clustering Algorithm

Achref Ouni

2023

Abstract

Finding the most similar images to an input query in the database is an important task in computer vision. Many approaches have been proposed from visual content have proven its effectiveness in retrieving the most relevant images. Bag of visual words model (BoVW) is one of the most algorithm used for image classification and recognition. Even the discriminative power of BoVW, the problem of retrieving the relevant images from the dataset is still a challenge. In this paper, we propose an efficient method inspired by the BoVW algorithm. Our key idea is to convert the standard BoVW model into a BoVP (Bag of Visual Phrase) model based on a density-spatial clustering algorithm. We show experimentally that the proposed model is able to perform better than classical methods. We examine the performance of the proposed method on four different datasets.

Paper Citation

in Harvard Style

Ouni A. (2023). An Unsupervised IR Approach Based Density Clustering Algorithm. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP; ISBN 978-989-758-634-7, SciTePress, pages 491-496. DOI: 10.5220/0011892800003417

in Bibtex Style

@conference{visapp23,
author={Achref Ouni},
title={An Unsupervised IR Approach Based Density Clustering Algorithm},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP},
year={2023},
pages={491-496},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011892800003417},
isbn={978-989-758-634-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP
TI - An Unsupervised IR Approach Based Density Clustering Algorithm
SN - 978-989-758-634-7
AU - Ouni A.
PY - 2023
SP - 491
EP - 496
DO - 10.5220/0011892800003417
PB - SciTePress