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Object ontology, among others, is one of the methods.
In this paper we investigate the use of a codified emotion ontology over global color features of images to annotate the images at a high semantic level.
Note that Chicago style outlines two distinct citation styles—Notes/bibliography style and Author/date style—and that this guide covers only Notes/Bibliography style.
, June 3, 2013, European Southern Observatory, https://org/public/images/potw1322a/).
In order to speed up the annotation process the images are sampled so that each digital image is represented by a random subset of its content.
We test within controlled conditions how this random subset may represent the adequate high level emotional concept presented in the image.
Modern research in content-based image retrieval systems (CIBR) has become progressively more focused on the richness of human semantics.
Several approaches may be used to reduced the 'semantic gap' between the high-level human experience and the low level visual features of pictures.
Drawings and photographs can be used to communicate very specific information about a subject.
Thanks to software, both are now highly manipulable.