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Yannis Theodoridis
Researcher at University of Piraeus
Publications - 236
Citations - 10009
Yannis Theodoridis is an academic researcher from University of Piraeus. The author has contributed to research in topics: Spatial database & Spatial query. The author has an hindex of 47, co-authored 223 publications receiving 9426 citations. Previous affiliations of Yannis Theodoridis include National and Kapodistrian University of Athens & Research Academic Computer Technology Institute.
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Journal ArticleDOI
Literature review of spatio-temporal database models
TL;DR: This paper reviews the different types of spatio-temporal data models that have been proposed in the literature as well as new theories and concepts that have emerged and critically evaluates the various approaches through the use of a case study and the construction of a comparison framework.
Journal ArticleDOI
Closest pair queries in spatial databases
TL;DR: An extensive study based on experiments performed with synthetic as well as with real point data sets, a wide range of values for the basic parameters affecting the performance of the algorithms, especially the effect of overlap between the two data sets are explored.
Proceedings ArticleDOI
Index-based Most Similar Trajectory Search
TL;DR: This work defines a similarity metric, proposes an efficient approximation method to reduce its calculation cost, and develops novel metrics and heuristics to support k-most-similar-trajectory search in spatiotemporal databases exploiting on existing R-tree-like structures that are already found there to support more traditional queries.
Journal ArticleDOI
Spatial relations, minimum bounding rectangles, and spatial data structures
TL;DR: This paper describes topological and direction relations between region objects and study the spatial information that Minimum Bounding Rectangles convey about the actual objects they enclose, and applies the results in R-trees and their variations in order to minimize the number of disk accesses for queries involving topologicaland direction relations.
Journal ArticleDOI
Spatio-temporal composition and indexing for large multimedia applications
TL;DR: This paper defines a model, based on a set of spatial and temporal relationships between objects participating in multimedia applications, that extends these relationships in order to cover the specific requirements of multimedia applications and integrates the results in a uniform framework for spatio-temporal composition representation.