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Inproceedings
[I1]
Naohiro Isokawa, Wataru Sasaki, Yuuki Nishiyama, Tadashi Okoshi, Jin Nakazawa
Fish Species Annotation System for Environmental Detection by Marine Life as a Sensor Inproceedings Open Access
In: HCI Outdoors: A CHI 2018 Workshop on Understanding Human-Computer Interaction in the Outdoor, Canada, Montreal, 2018.
@inproceedings{isokawa2018,
title = {Fish Species Annotation System for Environmental Detection by Marine Life as a Sensor},
author = {Naohiro Isokawa and Wataru Sasaki and Yuuki Nishiyama and Tadashi Okoshi and Jin Nakazawa},
url = {http://hcioutdoors.net/wp-content/uploads/2018/03/Isokawa-fish-species-annotation.pdf},
year = {2018},
date = {2018-04-21},
booktitle = { HCI Outdoors: A CHI 2018 Workshop on Understanding Human-Computer Interaction in the Outdoor, Canada, Montreal},
abstract = {The ocean was born on the earth 4.6 billion years ago. Life
was born in the ocean, further evolved creatures created
oxygen in the ocean, and that oxygen also changed the atmospheric composition of the Earth. From ancient times life
has received many benefits from the ocean. Even in recent
years, fluctuations in the marine environment are drawing
attention as one of the major environmental problems. Because there is a possibility that it will have a big influence
on human society and ecosystem. Therefore, in the field
of oceanography, research to detect and predict changes
in the marine environment in various ways is actively conducted. We aim to detect changes in the marine environment from the behavior of marine organisms (mainly fish).
In this paper, we implemented a system for annotation of
fish species which is an important module for our research.
This system aims to collect accurate data on fish species by
targeting professional oceanographers. For motivation for
annotation work, the system provides analytical results and
generation models as rewards for work. We also conducted
a questionnaire survey of 14 professors, researchers, and
students specializing in oceanography for annotation system.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The ocean was born on the earth 4.6 billion years ago. Life
was born in the ocean, further evolved creatures created
oxygen in the ocean, and that oxygen also changed the atmospheric composition of the Earth. From ancient times life
has received many benefits from the ocean. Even in recent
years, fluctuations in the marine environment are drawing
attention as one of the major environmental problems. Because there is a possibility that it will have a big influence
on human society and ecosystem. Therefore, in the field
of oceanography, research to detect and predict changes
in the marine environment in various ways is actively conducted. We aim to detect changes in the marine environment from the behavior of marine organisms (mainly fish).
In this paper, we implemented a system for annotation of
fish species which is an important module for our research.
This system aims to collect accurate data on fish species by
targeting professional oceanographers. For motivation for
annotation work, the system provides analytical results and
generation models as rewards for work. We also conducted
a questionnaire survey of 14 professors, researchers, and
students specializing in oceanography for annotation system.
was born in the ocean, further evolved creatures created
oxygen in the ocean, and that oxygen also changed the atmospheric composition of the Earth. From ancient times life
has received many benefits from the ocean. Even in recent
years, fluctuations in the marine environment are drawing
attention as one of the major environmental problems. Because there is a possibility that it will have a big influence
on human society and ecosystem. Therefore, in the field
of oceanography, research to detect and predict changes
in the marine environment in various ways is actively conducted. We aim to detect changes in the marine environment from the behavior of marine organisms (mainly fish).
In this paper, we implemented a system for annotation of
fish species which is an important module for our research.
This system aims to collect accurate data on fish species by
targeting professional oceanographers. For motivation for
annotation work, the system provides analytical results and
generation models as rewards for work. We also conducted
a questionnaire survey of 14 professors, researchers, and
students specializing in oceanography for annotation system.
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