Region-Based Message Exploration over Spatio-Temporal Data Streams

Temporal and Spatio - Temporal Aggregations over Data Streams usingMultiple Time

Temporal and spatio-temporal aggregations over data streams using multiple time granularities

Temporal and spatio-temporal aggregations are important but costly operations for applications that maintain time-evolving data (data warehouses, temporal databases, etc.). In this paper we examine the problem of computing such aggregates over data streams. The aggregates are maintained using multiple levels of temporal granularities: older data is aggregated using coarser granularities while m...

Modeling of spatio-temporal of albedo over Iran

The aim of this study is modeling spatiotemporal variations of albedo. This study was conducted using simultaneous effects of several components, such as wetness of surface layer of soil, cloudiness, topography and vegetation density (NDVI), using MEERA2 model with a resolution of 50 in 50 km during 2000-2010 in Iran. The results of spatial analysis of albedo values in Iran showed that the high...

ClusterSheddy : Load Shedding Using Moving Clusters over Spatio-temporal Data Streams

Moving object environments are characterized by large numbers of objects continuously sending location updates. At times, data arrival rates may spike up, causing the load on the system to exceed its capacity. This may result in increased output latencies, potentially leading to invalid or obsolete answers. Dropping data randomly, the most frequently used approach in the literature for load she...

Graph-Based Spatio-temporal Region Extraction

Motion-based segmentation is traditionally used for video object extraction. Objects are detected as groups of significant moving regions and tracked through the sequence. However, this approach presents difficulties for video shots that contain both static and dynamic moments, and detection is prone to fail in absence of motion. In addition, retrieval of static contents is needed for high-leve...