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Title:
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APPLICATION OF THE METHODS OF HYBRID ARTIFICIAL INTELLIGENCE TO DETERMINE THE LOCATION OF OBJECTS BY THEIR PHOTOGRAPHY |
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Author(s):
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Dmitry V. Berezkin, Andrew V. Proletarsky, Valentin Yu. Sidorov and Ilya E. Sergeev |
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ISBN:
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978-989-8533-95-1 |
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Editors:
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Hans Weghorn |
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Year:
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2019 |
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Edition:
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Single |
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Keywords:
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Geolocation Estimation, Scene Classification, Hybrid Artificial Intelligence, Computer Vision, Digital Image Processing
Neural Network, Deep Learning |
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Type:
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Short Paper |
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First Page:
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245 |
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Last Page:
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250 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Successful assessment of the geolocation of photography can be used in many interesting projects, although this is an
extremely difficult task. The article is devoted to the development of an approach to the creation of a hybrid intellectual
system for determining the location of objects from their photographs. The analysis of existing approaches to the
assessment of geolocation of photographs was carried out; a generalized structure of the hybrid intelligent system for
determining the location of objects from their photographs was proposed. To assess the location, it is proposed to analyze
both the data on the GPS coordinates of the original photo and those similar to it, and the classification of objects in the
photo: city, nature. Geolocation is considered as a classification problem when the earth's surface is divided into disjoint
adjacent cells. |
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