A Computer Vision Approach for Detecting Discrepancies in Map Textual Labels-Reference-Cited by-同舟云学术

A Computer Vision Approach for Detecting Discrepancies in Map Textual Labels

Published:2023-07-10 Issue: Volume: Page:
ISSN:
Container-title:35th International Conference on Scientific and Statistical Database Management
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Author:

Salama Abdulrahman¹^ORCID,Elkamhawy Mahmoud²^ORCID,Ali Mohamed¹^ORCID,Al-Masri Ehab¹^ORCID,Sabour Adel¹^ORCID,Hendawi Abdeltawab³^ORCID,Tan Ming⁴^ORCID,Agrawal Vashutosh⁴^ORCID,Prakash Ravi⁴^ORCID

Affiliation:

1. University of Washington, USA

2. university of washington tacoma, USA

3. University of Rhode Island, USA

4. Microsoft, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3603719.3603722

Reference20 articles.

1. Azure. 2022. Azure Cognitive Services. https://azure.microsoft.com/en-us/products/cognitive-services/ Azure. 2022. Azure Cognitive Services. https://azure.microsoft.com/en-us/products/cognitive-services/

2. Ayush Bandil , Vaishali Girdhar , Hieu Chau , Mohamed Ali , Abdeltawab Hendawi , Harsh Govind , Peiwei Cao , and Ashley Song . 2021 . GeoDart: A System for Discovering Maps Discrepancies. In 2021 IEEE 37th International Conference on Data Engineering (ICDE). 2535–2546 . https://doi.org/10.1109/ICDE51399.2021.00285 10.1109/ICDE51399.2021.00285 Ayush Bandil, Vaishali Girdhar, Hieu Chau, Mohamed Ali, Abdeltawab Hendawi, Harsh Govind, Peiwei Cao, and Ashley Song. 2021. GeoDart: A System for Discovering Maps Discrepancies. In 2021 IEEE 37th International Conference on Data Engineering (ICDE). 2535–2546. https://doi.org/10.1109/ICDE51399.2021.00285

3. An Interactive System to Compare, Explore and Identify Discrepancies across Map Providers

4. Automated evaluation of online mapping platforms

5. Towards an Automated Comparison of OpenStreetMap with Authoritative Road Datasets