@inproceedings{4314a3ea70b143deb18e4382a6ba0a96,
title = "Automatic Detection of Incorrect Location Images Uploaded by Users",
abstract = "This paper proposes a system to automatically perform classification and data cleaning on location images in a database contributed by arbitrary users. Since human inspection is not feasible for large-scale databases, the ability to detect incorrect scenes uploaded by users is very important to maintain the correctness of the database. In this work, we compare different feature extractors using deep convolutional networks trained by massive datasets. Also, a detector is designed to identify incorrect scenes that can overcome the challenges of large intra-cluster distances. The experiments have validated the effectiveness of the proposed approach on a very challenging dataset.",
keywords = "automatic data cleaning, location image analysis",
author = "Cheng, {Hsu Yung} and Yu, {Chih Chang} and Liu, {Hsiang Yuan} and Chen, {Sih Ying}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 21st IEEE International Workshop on Multimedia Signal Processing, MMSP 2019 ; Conference date: 27-09-2019 Through 29-09-2019",
year = "2019",
month = sep,
doi = "10.1109/MMSP.2019.8901830",
language = "???core.languages.en_GB???",
series = "IEEE 21st International Workshop on Multimedia Signal Processing, MMSP 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "IEEE 21st International Workshop on Multimedia Signal Processing, MMSP 2019",
}