DocumentCode :
54090
Title :
StoryFlow: Tracking the Evolution of Stories
Author :
Shixia Liu ; Yingcai Wu ; Enxun Wei ; Mengchen Liu ; Yang Liu
Volume :
19
Issue :
12
fYear :
2013
fDate :
Dec. 2013
Firstpage :
2436
Lastpage :
2445
Abstract :
Storyline visualizations, which are useful in many applications, aim to illustrate the dynamic relationships between entities in a story. However, the growing complexity and scalability of stories pose great challenges for existing approaches. In this paper, we propose an efficient optimization approach to generating an aesthetically appealing storyline visualization, which effectively handles the hierarchical relationships between entities over time. The approach formulates the storyline layout as a novel hybrid optimization approach that combines discrete and continuous optimization. The discrete method generates an initial layout through the ordering and alignment of entities, and the continuous method optimizes the initial layout to produce the optimal one. The efficient approach makes real-time interactions (e.g., bundling and straightening) possible, thus enabling users to better understand and track how the story evolves. Experiments and case studies are conducted to demonstrate the effectiveness and usefulness of the optimization approach.
Keywords :
data visualisation; humanities; optimisation; StoryFlow; continuous optimization; discrete method; discrete optimization; dynamic relationships; entities alignment; entities ordering; hybrid optimization approach; real-time interactions; story evolution; storyline layout; storyline visualizations; Heuristic algorithms; Layout; Motion pictures; Optimization; White spaces; Heuristic algorithms; Layout; Motion pictures; Optimization; Storylines; White spaces; level-of-detail; optimization; story-telling visualization; user interactions; Algorithms; Computer Graphics; Image Enhancement; Information Dissemination; Information Storage and Retrieval; Narration; Software; User-Computer Interface;
fLanguage :
English
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
Publisher :
ieee
ISSN :
1077-2626
Type :
jour
DOI :
10.1109/TVCG.2013.196
Filename :
6634164
Link To Document :
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