한국콘텐츠학회:학술대회논문집 (Proceedings of the Korea Contents Association Conference)
- 한국콘텐츠학회 2016년도 춘계 종합학술대회 논문집
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- Pages.257-258
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- 2016
Disaster and Safety Map Services Using Real Time Big Data Analysis
- Lim, Jongtae (Chungbuk Nat'l Univ.) ;
- Kim, Yeonwoo (Chungbuk Nat'l Univ.) ;
- Kim, Byounghoon (Chungbuk Nat'l Univ.) ;
- Ko, Geonsik (Chungbuk Nat'l Univ.) ;
- Choi, Minwoong (Chungbuk Nat'l Univ.) ;
- Kim, Gihoon (Chungbuk Nat'l Univ.) ;
- Yoo, Seunghun (Chungbuk Nat'l Univ.) ;
- Song, Heesub (Chungbuk Nat'l Univ.) ;
- Bok, Kyoungsoo (Chungbuk Nat'l Univ.) ;
- Hayashida, Yukuo (Saga Univ.) ;
- Yoo, Jaesoo (Chungbuk Nat'l Univ.)
- 발행 : 2016.05.20
초록
In my paper, an evaluation method on naturalness and urbanness characterizations of animation image is proposed. In contrast to the prior works, we intend to give the exact degree of naturalness and urbanness by combining the low-level visual feature-based schemes with the biological visual schemes. In our method, four descriptors are extracted and pseudoinverse is adopted. By this method, we can experiment on the exact degree of naturalness and urbanness with satisfactory results.
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