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|Titolo:||A Compositional Language for Color Based Image Retrieval|
|Autori interni:||BERRETTI, STEFANO|
DEL BIMBO, ALBERTO
|Data di pubblicazione:||1999|
|Abstract:||Many systems and techniques have been proposed so far to support image retrieval based on color content. However, in all these experiences only low-level color properties are considered. High-level color properties address concepts such as the perceptual quality of colors and the sensations that they convey. Color-induced sensations include warmth, accordance or contrast, harmony, excitement, depression, anguish etc. Paintings are an example where the visual content is related more to high-level color qualities and spatial arrangements than to physical properties of colors. Starting from this observation, Johannes Itten introduced a formalism to analyze the use of color in art and the effects that this induces on the user's psyche. In this paper, we present a system which translates the Itten theory into a formal language expressing the semantics associated with the combination of chromatic properties of color regions. A formal language and a model checking engine are implemented to define semantic clauses and verify the degree of truth by which they hold over an image.|
|Appare nelle tipologie:||1a - Articolo su rivista|
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