A Recommendation System for Paintings using Bag of Keypoints and Dominant Color Descriptors

Ricardo Ribani; Mauricio Marengoni

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Paper

A Recommendation System for Paintings using Bag of Keypoints and Dominant Color Descriptors

Topics: Categorization and Scene Understanding; Color and Texture Analyses; Content-Based Indexing, Search, and Retrieval; Features Extraction

In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, 321-327, 2015 , Berlin, Germany

Authors: Ricardo Ribani and Mauricio Marengoni

Affiliation: Universidade Presbiteriana Mackenzie, Brazil

Keyword(s): Image Retrieval, Recommendation, Bag of Keypoints, SURF, Dominant Color Descriptor, Art Paintings.

Related Ontology Subjects/Areas/Topics: Color and Texture Analyses ; Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis

Abstract: Determining the visual description for a painting is an interesting task that can be used in different applications, like retrieval, classification and recommendation. A painting can differ from others depending on the time period it was painted, the genre and the art movement the author lived. This paper present an approach for content based image retrieval applied to art paintings using the concept of bag of keypoints and SURF detector. A descriptor for dominant color is also used and weighted for a best visual retrieval.

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Paper citation in several formats:

Ribani, R. and Marengoni, M. (2015). A Recommendation System for Paintings using Bag of Keypoints and Dominant Color Descriptors. 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 321-327. DOI: 10.5220/0005297603210327

@conference{visapp15,
author={Ricardo Ribani. and Mauricio Marengoni.},
title={A Recommendation System for Paintings using Bag of Keypoints and Dominant Color Descriptors},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: VISAPP},
year={2015},
pages={321-327},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005297603210327},
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 - A Recommendation System for Paintings using Bag of Keypoints and Dominant Color Descriptors
SN - 978-989-758-090-1
IS - 2184-4321
AU - Ribani, R.
AU - Marengoni, M.
PY - 2015
SP - 321
EP - 327
DO - 10.5220/0005297603210327
PB - SciTePress