Track: Semantic Web
Paper Title:
Image Annotation by Hierarchical Mapping of Features
Authors:
Abstract:
In this paper, we propose a novel approach of image annotation by
constructing a hierarchical mapping between low-level visual
features and text features utilizing the relations within and across
both visual features and text features. Moreover, we propose a novel
annotation strategy that maximizes both the accuracy and the
diversity of the generated annotation by generalizing or specifying
the annotation in the corresponding annotation hierarchy.
Experiments with 4500 scientific images from Royal Society of
Chemistry journals show that the proposed annotation approach
produces satisfactory results at different levels of annotations.
