Laboratory of Content-oriented Computational Culture & Arts

関西大学総合情報学部 文化芸術計算機科学研究室


アニメーションは主要なエンタテインメントコンテンツの一つとして認知されているが,その制作過程で生成される中間生成物は作品が完成した直後に廃棄されることが多い.我々はこれを文化的損失と捉え,中間生成物を蓄積・保存するインセ […]

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山西良典,松村耕平:ダンス動画の模倣は視聴する動画のコンテンツ認識に影響を与えるのか?:被写体と背景への注目度の分析から,情報処理学会論文誌,63(11),pp. 1595 – 1601,2022.

ダンス動画をとりまくインタラクションに着目し,視聴時のダンス模倣が動画コンテンツへの注目に与える影響を検証した.動画中の被写体に合わせて踊りながら動画を視聴することで被写体自体への注目度が上がると仮説を立て,この仮説検証 […]

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Kyoka Yamamoto, Ryosuke Yamanishi, Mitsunori Matsushita: Visualization of the relationship between lectures and laboratories using SSNMF, Proc. of The 27th International Conference on Technologies and Applications of Artificial Intelligence, A7-1, 2022年12月

The purpose of this study is to visualize the relationship between lectures and fields of specialization (laboratories) so that students can choose lectures with a future direction. Since the university curriculum is highly flexible; students choose their own lectures. Taking into account their own objectives, students select the basic knowledge necessary for their purposes. However, it is difficult for students without sufficient knowledge to understand their relevance from the syllabus. The purpose of this study is to propose a method for estimating the relevance between lectures and laboratories in an undergraduate school as a help to provide students with an objective analysis of lectures, i.e., not only knowledge but also examples of its use. The proposed method applies a semi-supervised non-negative matrix factorization to identify common factors of knowledge in each combination of laboratory and lecture. It is suggested that the proposed method calculates reasonable results for the relationship between laboratories and lectures.

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