IEICE TRANSACTIONS on Information
Object Extraction Using an Edge-Based Feature for Query-by-Sketch Image Retrieval
Summary :
We previously proposed a query-by-sketch image retrieval system that uses an edge relation histogram (ERH). However, it is difficult for this method to retrieve partial objects from an image, because the ERH is a feature of the entire image, not of each object. Therefore, we propose an object-extraction method that uses edge-based features in order to enable the query-by-sketch system to retrieve partial images. This method is applied to 20,000 images from the Corel Photo Gallery. We confirm that retrieval accuracy is improved by using the edge-based features for extracting objects, enabling the query-by-sketch system to retrieve partial images.
- Publication
- IEICE TRANSACTIONS on Information Vol.E98-D No.1 pp.214-217
- Publication Date
- 2015/01/01
- Publicized
- 2014/10/15
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2014EDL8147
- Type of Manuscript
- LETTER
- Category
- Image Processing and Video Processing
Authors
Takuya TAKASU
Shizuoka University
Yoshiki KUMAGAI
Nidek Co. Ltd.
Gosuke OHASHI
Shizuoka University
Keyword
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Takuya TAKASU, Yoshiki KUMAGAI, Gosuke OHASHI, "Object Extraction Using an Edge-Based Feature for Query-by-Sketch Image Retrieval" in IEICE TRANSACTIONS on Information,
vol. E98-D, no. 1, pp. 214-217, January 2015, doi: 10.1587/transinf.2014EDL8147.
Abstract: We previously proposed a query-by-sketch image retrieval system that uses an edge relation histogram (ERH). However, it is difficult for this method to retrieve partial objects from an image, because the ERH is a feature of the entire image, not of each object. Therefore, we propose an object-extraction method that uses edge-based features in order to enable the query-by-sketch system to retrieve partial images. This method is applied to 20,000 images from the Corel Photo Gallery. We confirm that retrieval accuracy is improved by using the edge-based features for extracting objects, enabling the query-by-sketch system to retrieve partial images.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2014EDL8147/_p
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@ARTICLE{e98-d_1_214,
author={Takuya TAKASU, Yoshiki KUMAGAI, Gosuke OHASHI, },
journal={IEICE TRANSACTIONS on Information},
title={Object Extraction Using an Edge-Based Feature for Query-by-Sketch Image Retrieval},
year={2015},
volume={E98-D},
number={1},
pages={214-217},
abstract={We previously proposed a query-by-sketch image retrieval system that uses an edge relation histogram (ERH). However, it is difficult for this method to retrieve partial objects from an image, because the ERH is a feature of the entire image, not of each object. Therefore, we propose an object-extraction method that uses edge-based features in order to enable the query-by-sketch system to retrieve partial images. This method is applied to 20,000 images from the Corel Photo Gallery. We confirm that retrieval accuracy is improved by using the edge-based features for extracting objects, enabling the query-by-sketch system to retrieve partial images.},
keywords={},
doi={10.1587/transinf.2014EDL8147},
ISSN={1745-1361},
month={January},}
Copy
TY - JOUR
TI - Object Extraction Using an Edge-Based Feature for Query-by-Sketch Image Retrieval
T2 - IEICE TRANSACTIONS on Information
SP - 214
EP - 217
AU - Takuya TAKASU
AU - Yoshiki KUMAGAI
AU - Gosuke OHASHI
PY - 2015
DO - 10.1587/transinf.2014EDL8147
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E98-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2015
AB - We previously proposed a query-by-sketch image retrieval system that uses an edge relation histogram (ERH). However, it is difficult for this method to retrieve partial objects from an image, because the ERH is a feature of the entire image, not of each object. Therefore, we propose an object-extraction method that uses edge-based features in order to enable the query-by-sketch system to retrieve partial images. This method is applied to 20,000 images from the Corel Photo Gallery. We confirm that retrieval accuracy is improved by using the edge-based features for extracting objects, enabling the query-by-sketch system to retrieve partial images.
ER -
English
