@inproceedings{fdac6beee1d24d25b590019b77e15706,
title = "A landscape photograph localisation method with a genetic algorithm using image features",
abstract = "It improves the utility value of landscape photographs to identify their shooting locations and shooting directions because geolocated photographs can be used for location-oriented search systems, verification of historically valuable photographs and so on. However, a large amount of labor is required to perform manual shooting location search. Therefore, we are developing a location search system for landscape photographs. To find where and how a given landscape photograph was taken, the system puts virtual cameras in three-dimensional terrain model and adjusts their parameters using a genetic algorithm. The system does not realize efficient search because it has problems such as a long processing time, a multimodal problem and optimization by genetic algorithms. In this research, we propose several efficient search methods using image features and show experimental results for evaluation of them.",
keywords = "Genetic algorithm, Geolocation",
author = "Hideo Nagashima and Tetsuya Suzuki",
note = "Publisher Copyright: {\textcopyright} 2021 by SCITEPRESS - Science and Technology Publications, Lda.; 13th International Conference on Agents and Artificial Intelligence, ICAART 2021 ; Conference date: 04-02-2021 Through 06-02-2021",
year = "2021",
language = "English",
series = "ICAART 2021 - Proceedings of the 13th International Conference on Agents and Artificial Intelligence",
publisher = "SciTePress",
pages = "1290--1297",
editor = "Rocha, {Ana Paula} and Luc Steels and {van den Herik}, Jaap",
booktitle = "ICAART 2021 - Proceedings of the 13th International Conference on Agents and Artificial Intelligence",
}