• Title/Summary/Keyword: comic book layout

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Breaking Z-path : A Digital Comics Layout Strategy for Tablet PC (읽기 순서 바꾸기 : 타블렛PC 전자만화책의 레이아웃 연출)

  • Yoh, Mi-Ju;Shi, Chung-Kon
    • Cartoon and Animation Studies
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    • s.24
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    • pp.49-64
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    • 2011
  • Comics is sequential art. In comics, the story is developped by its sequential panels which have their own sizes and sites. Accordingly, comics is closer to 'space' art than text. The reading order in a page of comic book follows the human long-standing reading habit, and it is the same as that of textbook. When we read a korean comic book, our eyes run from left to right, and downward on the page. But some factors related to panels or comic structures can change the typical reading order. Meanwhile, breaking the typical reading order is easier in the "infinite canvas" by reason of unconstrained spatial composition. This paper introduces the factors that change the comic book readers' reading order and proposes a tablet PC comic book layout which includes an arbitrary reading path using interaction

Visualizing Motion Data as Sequential Images in Comic Book Layout (만화책 형식 동작 데이터 시각화)

  • Lee, Kang-Hoon
    • Journal of the Korea Computer Graphics Society
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    • v.15 no.4
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    • pp.31-40
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    • 2009
  • Captured motion data is widely used today in a variety of areas including film production, game development, sports analysis, and medical rehabilitation. The ability of analyzing and processing motion data has increased rapidly for last decades. However, it is still difficult for users to quickly understand the contents of motion data consisting of a series of time-varying poses. One typical approach is to visualize consecutive poses in sequence while adjusting three-dimensional view, which is often time-consuming and laborious especially when users need to repeatedly control time and view in order to search for desired motions. We present a method of visualizing motion data as a sequence of images in comic book layout so that users can rapidly understand the overall flows of motion data, and easily identify their desired motions. The usefulness of our approach is demonstrated by visualizing various kinds of motion data including locomotion, boxing, and interaction with environments.

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