DocumentCode :
2339463
Title :
Constant density displays using diversity sampling
Author :
Derthick, Mark ; Christel, Michael G. ; Hauptmann, Alexander G. ; Wactlar, Howard D.
Author_Institution :
Human-Comput. Interaction Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear :
2003
fDate :
21-21 Oct. 2003
Firstpage :
137
Lastpage :
144
Abstract :
The Informedia Digital Video Library user interface summarizes query results with a collage of representative keyframes. We present a user study in which keyframe occlusion caused difficulties. To use the screen space most efficiently to display images, both occlusion and wasted whitespace should be minimized. Thus optimal choices will tend toward constant density displays. However, previous constant density algorithms are based on global density, which leads to occlusion and empty space if the density is not uniform. We introduce an algorithm that considers the layout of individual objects and avoids occlusion altogether. Efficiency concerns are important for dynamic summaries of the Informedia Digital Video Library, which has hundreds of thousands of shots. Posting multiple queries that take into account parameters of the visualization as well as the original query reduces the amount of work required. This greedy algorithm is then compared to an optimal one. The approach is also applicable to visualizations containing complex graphical objects other than images, such as text, icons, or trees.
Keywords :
computer displays; data visualisation; graphical user interfaces; hidden feature removal; Informedia Digital Video Library; constant density algorithms; constant density displays; diversity sampling; global density; graphical objects; greedy algorithm; human factors; image display; information visualization; keyframe occlusion; query results; representative keyframes; user interface; Computer displays; Computer science; Greedy algorithms; Image retrieval; Information retrieval; Sampling methods; Software libraries; Tree graphs; User interfaces; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Visualization, 2003. INFOVIS 2003. IEEE Symposium on
Conference_Location :
Seattle, WA, USA
Print_ISBN :
0-7803-8154-8
Type :
conf
DOI :
10.1109/INFVIS.2003.1249019
Filename :
1249019
Link To Document :
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