IMAGE ANNOTATION USING VISUAL CONTENT AND OPTIMIZING OPEN KNOWLEDGE BASE
DOI:
https://doi.org/10.53840/myjict1-1-77Kata kunci:
IMAGE ANNOTATION, OPEN KNOWLEDGE BASE, VISUAL CONTENTAbstrak
Open knowledge bases such as the Cyc and DBPedia contain rich knowledge sources for various applications. In the case of image annotation and retrieval applications, such knowledge can be tapped and exploited to semantically annotate poorly annotated images or even images which have not been annotated. We proposed an approach to annotate images by using the visual content of images and subsequently used such content to assign suitable seeds annotation to target images. These seeds annotation are then mapped to the open knowledge base in order to further enrich its semantic information.
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Rujukan
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