Open AccessIncremental Tag Suggestion for Landmark Image Collections
Author(s) -
Sutasinee Chimlek,
Punpiti Piamsa-nga
Publication year - 2016
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v6i1.pp139-150
Subject(s) - landmark , computer science , artificial intelligence , global positioning system , computer vision , scheme (mathematics) , face (sociological concept) , pattern recognition (psychology) , information retrieval , telecommunications , mathematical analysis , mathematics , social science , sociology
In recent social media applications, descriptive information is collected through user tagging, such as face recognition, and automatic environment sensing, such as GPS. There are many applications that recognize landmarks using information gathered from GPS data. However, GPS is dependent on the location of the camera, not the landmark. In this research, we propose an automatic landmark tagging scheme using secondary regions to distinguish between similar landmarks. We propose two algorithms: 1) landmark tagging by secondary objects and 2) automatic new landmark recognition. Images of 30 famous landmarks from various public databases were used in our experiment. Results show increments of tagged areas and the improvement of landmark tagging accuracy.