Trace transform based method for color image domain identification
This work addresses context categorization for multi-domain multimedia content analysis, but it appears incremental as it builds on existing trace transform techniques.
The paper tackled the problem of color image context categorization by introducing a new method called DITEC based on the trace transform, which uses statistical descriptors for dimensionality reduction and achieved highly discriminant behavior for content categorization, validated experimentally on two datasets.
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.