New POI Construction with Street-Level Imagery

Chillo GA; Jeongho LEE; Won Hee LEE; Kiyun YU

doi:10.1587/transinf.E96.D.129

New POI Construction with Street-Level Imagery

Chillo GA, Jeongho LEE, Won Hee LEE, Kiyun YU

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We present a novel point of interest (POI) construction approach based on street-level imagery (SLI) such as Google StreetView. Our method consists of: (1) the creation of a conflation map between an SLI trace and a vector map; (2) the detection of the corresponding buildings between the SLI scene and the conflation map; and (3) POI name extraction from a signboard in the SLI scene by user-interactive text recognition. Finally, a POI is generated through a combination of the POI name and attributes of the building object on a vector map. The proposed method showed recall of 92.99% and precision of 97.10% for real-world POIs.

Publication: IEICE TRANSACTIONS on Information Vol.E96-D No.1 pp.129-133

Publication Date: 2013/01/01

Publicized

Online ISSN: 1745-1361

DOI: 10.1587/transinf.E96.D.129

Type of Manuscript: LETTER

Category: Data Engineering, Web Information Systems

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Chillo GA, Jeongho LEE, Won Hee LEE, Kiyun YU, "New POI Construction with Street-Level Imagery" in IEICE TRANSACTIONS on Information, vol. E96-D, no. 1, pp. 129-133, January 2013, doi: 10.1587/transinf.E96.D.129.
Abstract: We present a novel point of interest (POI) construction approach based on street-level imagery (SLI) such as Google StreetView. Our method consists of: (1) the creation of a conflation map between an SLI trace and a vector map; (2) the detection of the corresponding buildings between the SLI scene and the conflation map; and (3) POI name extraction from a signboard in the SLI scene by user-interactive text recognition. Finally, a POI is generated through a combination of the POI name and attributes of the building object on a vector map. The proposed method showed recall of 92.99% and precision of 97.10% for real-world POIs.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E96.D.129/_p

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@ARTICLE{e96-d_1_129,
author={Chillo GA, Jeongho LEE, Won Hee LEE, Kiyun YU, },
journal={IEICE TRANSACTIONS on Information},
title={New POI Construction with Street-Level Imagery},
year={2013},
volume={E96-D},
number={1},
pages={129-133},
abstract={We present a novel point of interest (POI) construction approach based on street-level imagery (SLI) such as Google StreetView. Our method consists of: (1) the creation of a conflation map between an SLI trace and a vector map; (2) the detection of the corresponding buildings between the SLI scene and the conflation map; and (3) POI name extraction from a signboard in the SLI scene by user-interactive text recognition. Finally, a POI is generated through a combination of the POI name and attributes of the building object on a vector map. The proposed method showed recall of 92.99% and precision of 97.10% for real-world POIs.},
keywords={},
doi={10.1587/transinf.E96.D.129},
ISSN={1745-1361},
month={January},}

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TY - JOUR
TI - New POI Construction with Street-Level Imagery
T2 - IEICE TRANSACTIONS on Information
SP - 129
EP - 133
AU - Chillo GA
AU - Jeongho LEE
AU - Won Hee LEE
AU - Kiyun YU
PY - 2013
DO - 10.1587/transinf.E96.D.129
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E96-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2013
AB - We present a novel point of interest (POI) construction approach based on street-level imagery (SLI) such as Google StreetView. Our method consists of: (1) the creation of a conflation map between an SLI trace and a vector map; (2) the detection of the corresponding buildings between the SLI scene and the conflation map; and (3) POI name extraction from a signboard in the SLI scene by user-interactive text recognition. Finally, a POI is generated through a combination of the POI name and attributes of the building object on a vector map. The proposed method showed recall of 92.99% and precision of 97.10% for real-world POIs.
ER -