This paper presents a method for modeling and segmenting spatio-temporal shapes. The modeling part is based on obtaining a description of the statistical variations of spatio-temporal shape parameters by studying a representative training set of examples. A deformable model of spatio-temporal shapes is used for segmenting similar shapes in new image sequences. The deformations of the model are ...

We study a model for spatio-temporal objects, introduced by Chomicki and Revesz, in which spatio-temporal data is specified by a spatial reference object together with a geometric transformation that determines the movement of the reference object in time. We give complete results concerning closure under Boolean set operators for the different classes of spatio-temporal objects introduced by t...

Improved support for modeling information systems involving time-varying, georeferenced information, termed spatio-temporal information, has been a longterm user requirement in a variety of areas, such as cadastral systems that capture the histories of landparcels, routing systems computing possible routes of vehicles, and weather forecasting systems. This chapter concerns the conceptual databa...

Spatio-temporal association rules mining is a key technology and a hot issue in the field of spatio-temporal data mining. The classical Apriori algorithm is usually utilized to detect the spatio-temporal association rules from the spatio-temporal transaction table, which is derived from the original spatio-temporal data. In most existing approaches to generate the spatio-temporal transaction ta...

Bacillary dysentery (BD) remains a big public health problem in China. Effective spatio-temporal monitoring of BD incidence is important for successful implementation of control and prevention measures. This study aimed to examine the spatio-temporal pattern of BD and analyze socio-economic factors that may affect BD incidence in Sichuan province, China. Firstly, we used space-time scan statist...

With the rapid growth of multimedia data, there is an increasing need for robust multimedia database model. Such a model should be able to index spatio-temporal data thus efficient access to data whose geometry changes over time can be provided. In this paper, a spatio-temporal multimedia database model for managing transportation surveillance video data is proposed. The objective is to build a...

Advances in wireless transmission and mobile technology applied to LBS (Location-based Services) flood us with amounts of moving objects data. Vast amounts of gathered data from position sensors of mobile phones, PDAs, or vehicles hide interesting and valuable knowledge and describe the behavior of moving objects. The correlation between temporal moving patterns of moving objects and geo-featur...

Spatial and temporal correlations which affect the signal measured in functional MRI (fMRI) are usually not considered simultaneously (i.e., as non-independent random processes) in statistical methods dedicated to detecting cerebral activation. We propose a new method for modeling the covariance of a stationary spatio-temporal random process and apply this approach to fMRI data analysis. For do...

In the geometric data model for spatio-temporal data, introduced by Chomicki and Revesz [1], spatio-temporal data are modelled as a finite collection of triangles that are transformed by time-dependent affinities of the plane. To facilitate querying and animation of spatio-temporal data, we present a normal form for data in the geometric data model. We propose an algorithm for constructing this...