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In spite of the development of content-based data management, text-basedsearching remains the primary means of multimedia retrieval in many areas.Automatic creation of text metadata is thus a crucial tool for increasing thefindability of multimedia objects. Search-based annotation tools try to providecontent-descriptive keywords by exploiting web data, which are easily availablebut unstructured and noisy. Such data need to be analyzed with the help ofsemantic resources that provide knowledge about objects and relationships in agiven domain. In this paper, we focus on the task of general-purpose imageannotation and present the VCO, a new ontology of visual concepts developed asa part of image annotation framework. The ontology is linked with the WordNetlexical database, so the annotation tools can easily integrate information fromboth these resources.

Visual Concept Ontology for Image Annotations