Download Advances in Spatial and Temporal Databases: 7th by Jianwen Su, Haiyan Xu, Oscar H. Ibarra (auth.), Christian S. PDF

By Jianwen Su, Haiyan Xu, Oscar H. Ibarra (auth.), Christian S. Jensen, Markus Schneider, Bernhard Seeger, Vassilis J. Tsotras (eds.)

The 7th overseas Symposium on Spatial and Temporal Databases (SSTD 2001), held in Redondo seashore, CA, united states, July 12{15, 2001, introduced jointly prime researchers and builders within the region of spatial, temporal, and spatio-temporal databases to debate the cutting-edge in spatial and temporal info administration and functions, and to appreciate the demanding situations and - seek instructions within the advancing zone of knowledge administration for relocating items. The symposium served as a discussion board for disseminating examine in spatial and temporal information administration, and for maximizing the interchange of information between researchers from the confirmed spatial and temporal database com- nities. The trade of study rules and effects not just contributes to the educational area, but additionally bene ts the consumer and advertisement groups. SSTD 2001 was once the 7th within the sequence of symposia that all started in Santa Barbara a dozen years in the past and has when you consider that been held each years, in Zurich, Singapore, Portland (Maine), Berlin, and Hong Kong. by way of 1999, the sequence had develop into good tested because the top-rated foreign discussion board committed exclusively to spatial database administration, and it was once determined to increase the scope of the sequence to additionally hide temporal database administration. This prolonged scope was once selected due, partially, to the expanding significance of analysis that considers spatial and temporal elements jointly.

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Extra resources for Advances in Spatial and Temporal Databases: 7th International Symposium, SSTD 2001 Redondo Beach, CA, USA, July 12–15, 2001 Proceedings

Sample text

4 Theorem 3: The maximum 4-neighbor distance ( distancemax ) between two directionrelation matrices is 4. Proof: The maximum cost is incurred when the maximum possible value of sum (R01) is moved by the maximum possible distance. The maximum value of sum (R01) is 1 and the maximum 4-neighbor distance between two cardinal directions is 4 (Figure 5); 4 therefore, the value of distancemax is 4x1=4. ∴ The maximum distance between two direction-relation matrices can occur only between single-element direction-relation matrices that have non-zero values for the farthest direction tiles.

Geometric and visual attributes help in determining the presence of an object in a scene and spatial relations between objects distinguish relative placements of the objects in the embedding space. ” Nabil et al. (1995) and Bruns and Egenhofer (1996) use spatial relations between objects for the assessment of scene similarity. Spatial relations are also used for similarity assessment in image databases (Chu et al. 1994; Del Bimbo et al. 1995; Del Bimbo and Pala 1997; Chu et al. 1998), multimedia databases (Al-Khatib et al.

0 1 sum(D ) = sum(D ) = 1 (13) The addition operation (+) follows the associative law; therefore, we can express the asymmetric difference matrices (Equations 8a-b) in the sum form (Equations 14ab). 01 0 01 10 1 10 sum(R ) = sum(D ) − sum(C ) sum(R ) = sum(D ) − sum(C ) (14a) (14b) Similarity of Cardinal Directions 45 Let us assume the value of sum (C01) is x, which equals sum (C10); substituting x for these sums in Equation 14a-b and combining them with Equation 13, we obtain expressions for the sum of asymmetric difference matrices in terms of x (Equations 15a-b).

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