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
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