Salient Frame Detection for Molecular Dynamics Simulations

Authors Youngmin Kim, Robert Patro, Cheuk Yiu Ip, Dianne P. O’Leary, Andriy Anishkin

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Youngmin Kim
Robert Patro
Cheuk Yiu Ip
Dianne P. O’Leary
Andriy Anishkin

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Youngmin Kim, Robert Patro, Cheuk Yiu Ip, Dianne P. O’Leary, and Andriy Anishkin. Salient Frame Detection for Molecular Dynamics Simulations. In Scientific Visualization: Interactions, Features, Metaphors. Dagstuhl Follow-Ups, Volume 2, pp. 160-175, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)


Recent advances in sophisticated computational techniques have facilitated simulation of incrediblydetailed time-varying trajectories and in the process have generated vast quantities of simulation data. The current tools to analyze and comprehend large-scale time-varying data, however, lag far behind our ability to produce such simulation data. Saliency-based analysis can be applied to time-varying 3D datasets for the purpose of summarization, abstraction, and motion analysis. As the sizes of time-varying datasets continue to grow, it becomes more and more difficult to comprehend vast amounts of data and information in a short period of time. In this paper, we use eigenanalysis to generate orthogonal basis functions over sliding windows to characterize regions of unusual deviations and significant trends. Our results show that motion subspaces provide an effective technique for summarization of large molecular dynamics trajectories.
  • Saliency based analysis
  • Molecular Dynamics
  • Simulation


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