Abstract
This paper shows how advances in automatic semantic annotation can help consumer cope with digital overload. Knowledge-assisted segment classification labels the region in an image. Image gradient information can be used to detect the profile characteristics of a person. Ontologies are a key ingredient in bridging the semantic gap. The first step in the image annotation process is to compute a set of low-level visual descriptor based on colour, texture, and shape information. Segmentation of the image into homogeneous regions is performed, based on the low-level descriptions. Scene classification uses a machine learning-based classifier (Support Vector Machine) to classify the images into different scene types (e.g. indoor versus outdoor).
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