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  • 李 東真
    レコード・マネジメント
    2012年 63 巻 29-44
    発行日: 2012/12/08
    公開日: 2017/03/24
    ジャーナル オープンアクセス
    動的映像は、歴史や過去の事象を生々しく伝えることのできる資料として高い価値を有する。動的映像を研究資料としてまたは、創作活動の素材として利用するためには、動的映像を収集して、利用できる形に整理する、つまり組織化する必要がある。ニュースや映画などの完成作品としての動的映像は、提供元などが提示した情報を基に目録規則に従い記述することで組織化できる。一方で、素材もしくは半製品として存在する動的映像を記録として組織化する場合、動的映像そのものから目録、メタデータに対応する情報を生成することが求められる。動的映像資料の利用者研究を考察することにより、「制作者」、「タイトル」、「主題」がアクセスポイントして有効であること、さらに「制作者」、「タイトル」が与えられない素材、未完成・未公開作品などの動的映像から生成可能な情報は「主題」であることが示された。しかし、動的映像そのものからの主題を生成する場合、イメージを語で表現する作業を伴うことから、本稿ではさらに、その際に生じる問題点を考察、分析した。その結果に基づき、問題点を1)抽出する動的映像の階層レベル、2)抽出する素性の抽象度、3)抽出された主題の表現法の3つに分類した。
  • 亀井 卓也, 伊藤 那知, 太田 諭志, 佐鳥 新, 千葉 一永
    設計工学・システム部門講演会講演論文集
    2013年 2013.23 巻 3303
    発行日: 2013/10/23
    公開日: 2017/06/19
    会議録・要旨集 フリー
    Precision agriculture has been being implemented in order environmentally friendly and efficiently to product and manage crops. The remote sensing by satellite and aircraft is employed in order to obtain the information regarding the growth of crops. Although the data from satellites can include wide-range image each time, it is insufficient due to the fixed orbital path of satellites. Therefore, fixed-point observations cannot be sufficiently performed. Moreover, the observations on fixed orbital path cannot be always carried out because of cloud. Although aircrafts are used for the interpolation of the insufficient data by satellites, manned aircrafts need high personnel expenses and maintenance costs. Therefore, unmanned aerial vehicle (UAV) is recently employed. The objective of the present study is the development of the system to generate the interpolated image data by normalized difference vegetation index (NDVI) map taken by small-type UAV (sUAV), which is low-priced and simple system to implement precision agriculture. The following three assignments have been concretely performed in the present study; 1) light-weight four-band multispectral camera carried in sUAV will be developed, 2) sUAV is managed and the image data will be taken, and 3) NDVI map will be generated from the image data by sUAV and interpolated image data will also be developed to contribute precision agriculture. Consequently, the lightest four-band multispectral camera in the world has been developed, and also sUAV has been able to be successfully managed and acquired image data could also generates NDVI maps.
  • 亀井 卓也, 伊藤 那知, 菅井 慎也, 太田 諭志, 佐鳥 新, 千葉 一永
    航空宇宙技術
    2013年 12 巻 111-117
    発行日: 2013年
    公開日: 2013/11/28
    ジャーナル フリー
    Precision agriculture has been being implemented in order environmentally friendly and efficiently to product and manage crops. The remote sensing by satellite and aircraft is employed in order to obtain the information regarding the growth of crops. Although the data from satellites can include wide-range image each time, it is insufficient due to the fixed orbital path of satellites. Therefore, fixed-point observations cannot be sufficiently performed. Moreover, the observations on fixed orbital path cannot be always carried out because of cloud. Although aircrafts are used for the interpolation of the insufficient data by satellites, manned aircrafts need high personnel expenses and maintenance costs. Therefore, unmanned aerial vehicle (UAV) is recently employed. The objective of the present study is the development of the system to generate the interpolated image data by normalized difference vegetation index (NDVI) map taken by small-type UAV (sUAV), which is low-priced and simple system to implement precision agriculture. The following three assignments have been concretely performed in the present study; 1) light-weight four-band multispectral camera carried in sUAV will be developed, 2) sUAV is managed and the image data will be taken, and 3) NDVI map will be generated from the image data by sUAV and interpolated image data will also be developed to contribute precision agriculture. Consequently, the lightest four-band multispectral camera in the world has been developed, and also sUAV has been able to be successfully managed and acquired image data could also generates NDVI maps.
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