Titlebook: Advances in Visual Information Systems; 4th International Co Robert Laurini Conference proceedings 2000 Springer-Verlag Berlin Heidelberg 2

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Inequalities as Added Constraintsppears to be crucial. Many approaches for visual querying or browsing spatio-temporal data have been proposed recently. Geographic databases represent a spatio-temporal continuum. This is the reason why visual languages must integrate temporal data handling. We develop a visual language based on a q

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Inequalities as Added Constraints user. An origin is that a unique working space is used to express different kinds of information. Another origin is that the user gives his own semantics to information. Ambiguities represent a big challenge in visual query languages because they are found at different levels and sublevels. Ambigui

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https://doi.org/10.1007/BFb0000035ser. This enables the user to visually detect patterns or trends over time. This paper presents several methods to build animations of query results to visualize changes in a dynamic spatial database over time.

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Lecture Notes in Computer Scienceous color representation spaces, color and illumination invariance, color quantization and color matching. In order to overcome the many limitations of the description by a firstorder distribution, several higherorder distributions have been introduced since (like autocorrelogram or color coherence

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https://doi.org/10.1007/BFb0000035stem (HVS) is capable of perceiving color variations when comparing different acquisitions of the same video, it is able to identify the colors in an isolated image as well. Color based computer vision processes applied within digital video libraries do not have this capability and their performance

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Lecture Notes in Computer Sciencemage, which can be employed for CBIR applications. To this aim, a recognition system has been developed, that detects automatically image ROIs containing single objects, and classiffies them as belonging to a particular class of shapes. In our approach we make use of the eigenvalues of the covarianc

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