出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Many environmental issues have occured in this world and these issues are common to all
human beings. It is considered that environmental issues caused by humans exist in the
“border” between nature and human society. In other words, there is the possibility that
finding the “border” leads to determine the cause of environmental issues and discover the
solution. This paper presents an environment-visualization system with image-based
retrieval and distance calculation method as the first step of research for finding the
“border”. We focused on the plastic garbage issue which is related to SDGs14 and this
study was made to find the “border”, source of the plastic garbage which is scattered on
the coast area. In addition, we aim to realize the system which enables people to share the
knowledge about the plastic issue in order to acquire knowledge of the environment issues
and to promote concrete action to realize sustainable nature and society. In this system,
there are 3 features: (1) Composition-Based Image Retrieval Function, (2) SpatioTemporal-Based
Mapping Function, and (3) Coast-area Location-Checking for Selected
Images Function. (1) is the image retrieval function for detecting highly-related images to
a query-image with dividing one image to three images for separating with nature, human
society, and “border”. We used euclid calculation to calculate the similarity and show the
results in the ranking format. (2) is the mapping function with using the spatio-temporal
information which is accompanied with images. (3) is the location-checking function to
judge whether the photographing spot is near the ocean or not with image processing
metric and select the images only which are near the ocean.We present several
experimental results to clarify the feasibility and effectiveness of our method.
