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A spatiotemporal data model is incomplete without three components: classes, consistency constraints, and operators. Classes define the structure of the model, constraints enforce consistency in the m...
As efforts grow to develop spatio-temporal database systems and temporal geographic information systems that are capable of conveying how geographic phenomena change, it is important to associate the ...
Temporal noise sets a fundamental limit on image sensor performance, especially under low illumination and in video applications. In a CCD image sensor, temporal noise is well studied and characterize...
Temporal noise sets the fundamental limit on image sensor performance, especially under low illumination and in video applications. In a CCD image sensor, temporal noise is primarily due to the photod...
Hierarchical Temporal Memory (HTM) is still largely unknown by the pattern recognition community and only a few studies have been published in the scientific literature. This paper reviews HTM archite...
Multitemporal LiDAR data provide means for mapping structural changes in forest canopies. We demonstrate the use of area-based estimation method for snow damage assessment. Change features of bi-tempo...
Web is entering a new phase – HTML5. New features of HTML5 should be studied for online spatio-temporal data visualization. In the proposed framework, spatio-temporal data is stored in the data server...
Several aspects of spatiotemporal databases have been explored in past decades, ranging from basic data structure to query processing and indexing. But today, operational temporal GIS does not exist. ...
This paper introduces a Self-Similarity Matrix (SSM) based video copy detection scheme and a Visual Character-String (VCS) descriptor for SSM matching. SSM, which exploits the spatial and temporal in...
Landuse and land cover change (LUCC) is regarded as a good indicator that represents the impacts of human activities on the earth’s environment. When the large collection of multi-temporal satellite i...
This paper proposes a spatio-temporal auto regressive (STAR) model for frame rate upconversion. In the STAR model, each pixel in the interpolated frame is approximated as the weighted combination of ...
A spatio-temporal autoregressive model is proposed in this paper to address the problem of frame rate up conversion. Every pixel in a skipped frame is generated as a linear combination of pixel value...
Abstract. Driving a realistic facial animation with Support Vector Machine(SVM) requires determining the shape-to-wrinkle correspondence,which includes not only spatial dependency, but also temporal d...
Multi-view video is becoming increasingly popular, as it provides users greatly enhanced viewing experience. Multi-view video coding (MVC)focuses on exploiting not only the temporal correlation among ...

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