Spatiotemporal data model, which is the basis of spatiotemporal data management, deals with the representation and manipulation of spatiotemporal data. So far many spatiotemporal data models have been proposed, but most of them are towards specific applications and few are for general purposes. It is not feasible to design respective data management systems (DBMS) for different applications bec...

In the past several years, social media (e.g., Twitter and Facebook) has been experiencing a spectacular rise and popularity, and becoming a ubiquitous discourse for content sharing and social networking. With the widespread of mobile devices and location-based services, social media typically allows users to share whereabouts of daily activities (e.g., check-ins and taking photos), and thus st...

Data sets acquired from functional magnetic resonance imaging (fMRI) contain both spatial and temporal structures. In order to blindly extract underlying activities, the common approach however only uses either spatial or temporal independence. More convincing results can be achieved by requiring the transformed data to be as independent as possible in both domains. First introduced by Stone, s...

Visual analytics aims to provide technology that combines the strengths of human and electronic data processing. Visualization is the medium through which humans and computers cooperate. Such a synergistic cooperation is required for analyzing spatiotemporal data and solving spatio-temporal problems. In the modern society, spatiotemporal analysis is not solely the business of professional analy...

A video analysis framework based on spatiotemporal saliency calculation is presented. We propose a novel scheme for generating saliency in video sequences by taking into account both the spatial extent and dynamic evolution of regions. Towards this goal we extend a common image-oriented computational model of saliency-based visual attention to handle spatiotemporal analysis of video in a volume...

In the past few years the mobile phone data are considered as a useful complementary source of information for human mobility research. In this paper, we focus on the computation of the Origin Destination matrix using mobile phone data. First, a new approach of OD matrix design which takes into account the spatiotemporal heterogeneities of mobile phone data is proposed. Second, some analysis al...

Voltage-sensitive dye imaging (VSDI) can simultaneously monitor the spatiotemporal electrical dynamics of thousands of neurons and is often used to identify functional differences in models of neurological disease. While the chief advantage of VSDI is the ability to record spatiotemporal activity, there are no tools available to visualize and statistically compare activity across the full spati...

Recently, there are increasing interests in inferring mirco-expression from facial image sequences. Due to subtle facial movement of micro-expressions, feature extraction has become an important and critical issue for spontaneous facial micro-expression recognition. Recent works usually used spatiotemporal local binary pattern for micro-expression analysis. However, the commonly used spatiotemp...

We call permutation complexity the kind of dynamical complexity captured by any quantity or functional based on order relations, like ordinal patterns and permutation entropies. These mathematical tools have found interesting applications in time series analysis and abstract dynamical systems. In this letter we propose to extend the study of permutation complexity to spatiotemporal systems, by ...

Climate change disturbs the distribution of precipitation patterns and affects water resources. A lot of evidences imply that the increased atmospheric concentration of greenhouse gasses in turn increases the precipitation changes around the world. Thus, since Iran is located in an arid zone of the earth, identifying the effects of CO2 concentrations on Iran precipitation rate is highly importa...