The temporal dimension of spatial data has been the subject of discussion in the literature for a long time. While there are numerous Database Management System (DBMS) solutions only for spatial dimension, we did not observe the same situation for spatiotemporal data. Considering this gap, our purpose is to design and implement an extension to the DBMS PostgreSQL that is based on a formal spati...

Technological tools allow the generation of large volumes of data. For example satellite images aid in the study of spatiotemporal phenomena in a range of disciplines, such as urban planning, environmental sciences, and health care. Thus, remote-sensing experts must handle various and complex image sets for their interpretations. The GIS community has undertaken significant work in describing s...

Throughout the relatively young history of research on spatiotemporal modelling, a substantial number of models have been presented. However, since a spatiotemporal model represent a closer approximation to the real world than is the case for traditional models, such models must be based on a thorough understanding of how objects ’behave’ in reality. One way to acquire such knowledge is by usin...

When we are watching videos, there are spatiotemporal gaps between where we look (points of gaze) and what we focus on (points of attentional focus), which result from temporally delayed responses or anticipation in eye movements. We focus on the underlying structure of those gaps and propose a novel learning-based model to predict where humans look in videos. The proposed model selects a relev...

Previous models for video captioning often use the output from a specific layer of a Convolutional Neural Network (CNN) as video representations, preventing them from modeling rich, varying context-dependent semantics in video descriptions. In this paper, we propose a new approach to generating adaptive spatiotemporal representations of videos for a captioning task. For this purpose, novel atte...

Current neuroscience applies a bi-dimensional model to consciousness. Content and level of consciousness have been distinguished from each other in their underlying neuronal mechanisms. This though leaves open the role of the brain's intrinsic activity and its particular temporal and spatial structure in consciousness. I here review and investigate the spatial and temporal features of the brain...

Design, and in particular the design of the built environment in which we live and work, is an enterprise about which it is surprisingly difficult to talk. Part of the problem is that the right words don’t exist to discuss an activity which seems at once to be highly personal, but whose product is public and, preeminently among the arts, social in its intent. However, if we look at the way that...

Understanding of data quality is essential for choosing suitable analysis methods and interpreting their results. Investigation of quality of movement data, due to their spatio-temporal nature, requires consideration from multiple perspectives at different scales. We review the key properties of movement data and, on their basis, create a typology of possible data quality problems and suggest a...

Recent advances in technology have made practical the use of sensor networks for a wide range of problems, ranging from security applications to assistive environments and urban sensing. However, sensor systems today have limited capabilities in understanding human behaviors, thus requiring the presence of human operators, canceling, therefore, their main advantages which are large numbers and ...

This paper proposes an online segmentation scheme for broadcasted American football TV programs. The TV video streams are online partitioned into a series of play-break patterns with a relatively short delay. All the detected plays form an event-based summarization which contains complete information about the original match. The main contributions of the proposed scheme are twofold. First, an ...