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Table 5: Spatio-temporal queries posed on Precipita- tion Dataset

in An Evaluation of Multi-Resolution Search and Storage in Resource-Constrained Sensor Networks
by Deepak Ganesan, Ben Greenstein, Denis Perelyubskiy, Deborah Estrin, John Heidemann
"... In PAGE 8: ... 4.2 Query Performance Can good query accuracy be obtained by processing summaries constructed with low communication overhead? We address this question by evaluating the performance of drill-down processing on a broad set of queries as shown in Table5 . Each of... In PAGE 9: ... Figure 4.2 shows the variation of query quality for queries defined in Table5 for different levels of drill-down. Both the LocalYearlyMean query and the two Max queries are processed as regular drill-down queries.... In PAGE 10: ... Such data might be expected to be available if a data gathering phase preceded actual deployment. Summaries are constructed over the training set, and queries in Table5 are posed over these summaries. Ideally, the error obtained from the training set would mirror error seen by the omniscient scheme.... ..."

Table 1: Classification of continuously changing spatio-temporal applications

in Representation and Manipulation of Moving Points: An Extended Data Model for Location Estimation
by José Moreira, Cristina Ribeiro, Electrotcnica Computadores, Jean-marc Saglio

Table 4 Variation pattern for the main classes of spatio-temporal objects

in A 4D Marine Data Model: Design and Application in Ice Monitoring
by Torill Hamre, Khalid Azim Mughal, Anita Jacob

Table 6 Comparing existing spatio-temporal data models in terms of spatio-temporal semantics

in Theodoridis. Literature review of spatiotemporal database models
by Nikos Pelekis, Babis Theodoulidis, Ioannis Kopanakis, Yannis Theodoridis 2005
Cited by 7

Table 1: Comparison of di erent algorithms for continuous spatio-temporal queries.

in SINA: Scalable Incremental Processing of Continuous Queries in Spatio-temporal Databases
by Mohamed F. Mokbel, Xiaopeng Xiong, Walid G. Aref 2004
"... In PAGE 2: ... Moreover, SINA is scalable to support a large number of concurrently outstanding continu- ous queries and can deal with many variations of continuous spatio-temporal queries. Table1 gives a comparison of SINA... ..."
Cited by 45

Table 1: Comparison of di erent algorithms for continuous spatio-temporal queries.

in SINA: Scalable Incremental Processing of Continuous Queries in Spatio-temporal Databases
by Mohamed F. Mokbel, Xiaopeng Xiong, Walid G. Aref 2004
"... In PAGE 2: ... Moreover, SINA is scalable to support a large number of concurrently outstanding continu- ous queries and can deal with many variations of continuous spatio-temporal queries. Table1 gives a comparison of our proposed approach with previous approaches [15, 19, 23, 25]... ..."
Cited by 45

Table 1. Conceptual categories and sub-categories of spatio-temporal asynchrony patterns. Entrance Can Area Shopkeeper

in On the Binding Mechanism of Synchronised Visual Events
by unknown authors
"... In PAGE 5: ... The broad categories were aligned on the spatial regions in which the events occurred, namely (a) entrance at the door (b) can area (c) shopkeeper area. We created further sub-categories depending on the spatio- temporal characteristics as shown in Table1 . The criteria of sustained change allowed the detection of occurrences of people stopping to perform an action such as browsing fizzy drinks or effecting a purchase with the shopkeeper.... ..."

Table 2: Classification of discontinuously changing spatio-temporal applications The previous examples are merely indications, since the classes of properties that must be handled depend of the purpose of the systems. Indeed, even for the same application different levels of detail may induce different requirements. For example, a fire monitoring system for a governmental department should be able to represent the number, location and extents of burned areas, and to update this information, say, every three hours. In this case, the fire may be represented by polygons with discontinuous evolution over-time. However, a local entity responsible for the co-ordination of fire brigades, needs more detailed information to control the fire propagation. In addition to the local geography and meteorological conditions, it will need to decompose the fire on its foci and to cope with the evolution of each one individually. It will be necessary to control their movement, extent, and even the possibility of fusion and splitting of foci. This information should also be updated more frequently than the higher level one.

in Representation and Manipulation of Moving Points: An Extended Data Model for Location Estimation
by José Moreira, Cristina Ribeiro, Electrotcnica Computadores, Jean-marc Saglio
"... In PAGE 6: ... The manipulation of image sequences is envisioned with simple operations like choosing which objects will be displayed, and to specify additional parameters like their location, scale, displacement or rotation in a sequence. A similar analysis can be carried out for systems dealing with discontinuous change ( Table2 ). For example, a shoreline will change over time due to the coastal erosion.... ..."

Table 3. Parameter variation for our method with spatio-temporal smoothness assumption.

in High Accuracy Optical Flow Estimation Based on a Theory for Warping
by Thomas Brox, Andrés Bruhn, Nils Papenberg, Joachim Weickert 2004
Cited by 73

Table 3. Parameter variation for our method with spatio-temporal smoothness assumption.

in High accuracy optical flow estimation based on a theory for warping
by Thomas Brox, Andrés Bruhn, Nils Papenberg, Joachim Weickert 2004
Cited by 73
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