Supporting knowledge-intensive inspection tasks with application ontologies
International Journal of Human-Computer Studies
Segmentation and description of natural outdoor scenes
Image and Vision Computing
Enhanced tracking and recognition of moving objects by reasoning about spatio-temporal continuity
Image and Vision Computing
Ontology based complex object recognition
Image and Vision Computing
A cognitive vision approach to early pest detection in greenhouse crops
Computers and Electronics in Agriculture
Expert Systems with Applications: An International Journal
Semantic representation of multimedia content
Knowledge-driven multimedia information extraction and ontology evolution
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This paper presents a generic cognitive vision platform for the automatic recognition of natural complex objects. The recognition consists of three steps : image processing for numerical object description, mapping of numerical data into symbolic data and semantic interpretation for object recognition. The focus of this paper is the distributed platform architecture composed of three highly specialized Knowledge Based Systems (KBS). The first KBS is dedicated to semantic interpretation. The second one has to deal with the anchoring of symbolic data into image data. The last KBS is dedicated to intelligent image processing. Aftera brief overview of the natural object recognition problem, this paper describes the three subcomponents of the platform.