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Comparative Analysis of Selected Geotagging Methods

  • Sichen Mu
  • Mateusz Piwowarczyk
  • Marcin Kutrzyński
  • Bogdan TrawińskiEmail author
  • Zbigniew Telec
Conference paper
  • 219 Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume 1178)

Abstract

Geotagging is a rapidly growing technology in digital photography and searching for specific landmarks, and helps everyone in our daily lives. Navigation applications and travel guides put a number of geotagged photos on the maps, providing a good overview of the destination. Recently, the development of photo geotagging methods has become a popular issue. Implementations of the SIFT and SURF algorithms and training of convolutional neural networks to obtain image classification for landmark images are presented in this paper. Based on the results of the classification of images and geotags of other similar images, geotags have been assigned to the target images. In addition, the results of image classification obtained using feature detection algorithms and neural networks were compared and analyzed.

Keywords

Geotagging Landmark recognition SIFT algorithm SURF algorithm Convolutional neural network 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Faculty of Computer Science and ManagementWrocław University of Science and TechnologyWrocławPoland

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