Abstract. Automatic image annotation has been an active topic of research in com- puter vision and multimedia areas for decades due to its potentials in ...
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In this paper, we proposed a novel semantic context model for automatic annotation with context and spatial information. We reconstructed the image annotation ...
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The paper proposes methods to use a hierarchy defined on the annotation words derived from a text ontology to improve automatic image annotation and retrieval.
[PDF] Exploiting Spatial Context Constraints for Automatic Image Region ...
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ABSTRACT. In this paper we conduct a relatively complete study on how to exploit spatial context constraints for automated image region annotation.
Abstract. This paper presents a language for the semantic annotation of images, focusing on event types, their participants, and their spatial and ...
Abstract: Context modeling for Vision Recognition and Automatic Image Annotation (AIA) has attracted increasing attentions in recent years.
In this paper we propose a novel ontology-based methodology for automatic image annotation that exploits generalized qualitative spatial relations between ...
Dec 21, 2020 · the most influencing geometric and semantic contextual relationships for image annotation. Experiments conducted on the challenging ...
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A novel semantic context model for automatic annotation with context and spatial information is proposed and the experimental results illustrated that the ...
Missing: Relationships | Show results with:Relationships
Automatic image annotation is thus achieved by transferring the most frequent labels in the neighborhood to the test image. This is essentially a lazy learning ...