The purpose of this paper is to demonstrate a perceptually based spatio-temporal computational framework for visual saliency estimation. We have developed a new spatiotemporal visual frontend based on biologically inspired 3D Gabor filters, which is applied on both the luminance and the color streams and produces spatio-temporal energy maps. These volumes are fused for computing a single salien...

Spatio-temporal index is one of the key technologies applied to spatio-temporal database engines. Methods for spatio-temporal indexes which consider efficiency of both temporal queries and spatial queries become hot topics in current research. In the versionincrement based spatio-temporal data model, “Version” is used to represent states of geographical phenomena, while “increment” changes of s...

Time and space are ubiquitous aspects of reality. Temporal and spatial information appear together in many everyday activities, and many information systems of modern life should be able to handle such information. For example, information systems for traffic control, fleet management, environmental management, military applications, local and public administration, and academic institutions ne...

Spatio-temporal outliers are occurrences that can reveal significant information about the phenomena under investigation. They are detected after comparing their non-spatial attributes with their spatio-temporal neighbours. One of the important definitions that need to be made is the spatio-temporal neighbourhood of an instance. There can be no universally applicable definition of the spatio-te...

Although intensive work has been devoted to spatio-temporal qualitative reasoning models, some issues such as management of complex objects life and motion remain. In this paper, we propose a model dealing with existence and presence of object concepts. First, we introduce spatio-temporal states, which express existing spatio-temporal relationships between two objects at a given time. Spatio-te...

In order to cope with the enormous amount of 3-D Spatio-Temporal Image data we have proposed a method to transform 3-D Spatio-Temporal Image into 2-D Spatio-Temporal Images to reduce processing time for 3-D information acquisition. In this paper, we will extend the camera motion to enhance our previous method for building 3-D information acquisition from urban street images. The creation of 2-D...

Space and time are implicit in every activity of life. Every real-world object has its past, present, future and hence is intrinsically tied up with location and time. Storing spatio-temporal attributes in the databases along with the thematic attributes enriches the data and the inherent knowledge stored in the database. Spatio-temporal databases provide description of real-world phenomenon in...

Spatio-temporal databases are a topic of growing research interest but there is still little work reported on spatio-temporal query languages in line with the Object Database Management Group (ODMG) standard. This paper presents the design of such a language, called STOQL, by adding spatial and temporal dimensions to OQL. This language is based upon a data model that extends the ODMG Object Mod...

This paper is dedicated to the design of a fully scalable motioncompensated spatio-temporal subband video coding scheme. The main problem addressed is how to allow for a scalable capture and representation of the motion information and, at the same time, efficiently exploit the temporal correlation in the sequence. Two motion-compensated spatio-temporal decomposition structures are analyzed. Th...

Spatio-temporal patterns extracted from historical trajectories of moving objects unveil important knowledge about movement behavior for high quality LBS services. Existing approaches transform trajectories into sequences of regional symbols and discover frequent subsequences by applying conventional sequential pattern mining algorithms. However, spatio-temporal correlations in the original dat...