English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

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

Trace transform based method for color image domain identification