A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
Existing studies on time series and temporal trajectories focus on similarity matching and indexing. In this thesis, we argue that for large collections of trajectories, it is useful to provide the functionality of summarization. We envisage a multi-scale framework within which the user is first presented with low-resolution summaries of the underlying trajectories. The user is then allowed to "zoom in" to get high-resolution summaries. We propose two types of summaries: s-summaries anddoi:10.14288/1.0051449 fatcat:d2hkxy2qmvfpxjwknttmrfsj4y