  Context categorization is a fundamental pre-requisite for multi-domain
multimedia content analysis applications in order to manage contextual
information in an efficient manner. In this paper, we introduce a new color
image context categorization method (DITEC) based on the trace transform. The
problem of dimensionality reduction of the obtained trace transform signal is
addressed through statistical descriptors that keep the underlying information.
These extracted features offer a highly discriminant behavior for content
categorization. The theoretical properties of the method are analyzed and
validated experimentally through two different datasets.
