SpatioTemporal Helixes for Event Modeling
نویسندگان
چکیده
This paper defines a framework for the spatio-temporal analysis of motion imagery (MI) datasets depicting two-dimensional phenomena evolving in time. More specifically, we introduce the concept of a spatiotemporal helix as a concise representation of spatiotemporal events, modeling their path in space and the variations of their outline. We also present in some detail the automated algorithms developed to support the automated generation of spatiotemporal helixes and discuss their comparison to support spatiotemporal analysis.
منابع مشابه
Modeling and Comparing Spatiotemporal Events
Spatiotemporal helixes constitute a novel method we developed for modeling changes in an object over time. Changes in both an object’s trajectory and its outline can be represented with these helixes. In addition, spatiotemporal helixes can be compared to determine whether multiple objects have undergone similar changes. In this paper, we present a method by which these helixes may be compared,...
متن کاملSpatiotemporal Analysis with St Helixes
Efficient modelling of spatiotemporal change as it is depicted in multitemporal imagery is an important step towards the efficient analysis and management of large motion imagery (MI) datasets. Furthermore, the development of concise representation schemes of MI content is essential for the search, retrieval, interchange, query, and visualization of the information included in MI datasets. Towa...
متن کاملDifferentiating and Modeling Multiple Moving Objects in Motion Imagery Datasets
Motion imagery datasets capture evolving phenomena like the movement of a car or the progress of a natural disaster at video or quasi-video rates. The identification of individual spatiotemporal trajectories from such datasets is farm from trivial when these trajectories intersect in space, time, or attributes. In this paper we present our approach to this problem and relevant algorithms. A key...
متن کاملSpatiotemporal Event Forecasting in Social Media
Event forecasting in Twitter is an important and challenging problem. Most existing approaches focus on forecasting temporal events (such as elections and sports) and do not consider spatial features and their underlying correlations. In this paper, we propose a generative model for spatiotemporal event forecasting in Twitter. Our model characterizes the underlying development of future events ...
متن کاملEvent-oriented Approaches to Spatiotemporal Information
Current temporal and spatiotemporal information system technology is based on the snapshot metaphor, where the dynamic world is imagined as a temporal sequence of snapshots. This imposes limitations on the representations and reasoning capabilities of such systems. In particular, it is not possible using temporal snapshots to explicitly model events, processes, and actions. This abstract summar...
متن کامل