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|Title:||On the use of spatial relations between objects for image classification||Authors:||Tsapatsoulis, Nicolas
Perantonis, Stavros J.
|Keywords:||Image classification;Object detection;Spatial realations||Category:||Arts||Field:||Humanities||Issue Date:||2007||Publisher:||Springer||Source:||Artificial Intelligence and Innovations 2007: from Theory to Applications, 2007, pp.347-356||Series/Report no.:||IFIP International Federation for Information Processing;||Abstract:||Image classification is addressed in this paper by utilizing spatial relation of detected objects in a rule-based fashion. Instances of particular object classes are detected combining bottom-up (learn-able models based on simple features) and top-down information(object models consisting of primitive geometric shapes such as lines). The rule-based system acts as a model for the spatial configuration of objects, also providing a human interpretable justification of image classification. Experimental results in the athletic domain show that despite inefficiencies in object detection, spatial relations allow for efficient discrimination between visually similar images classes.||URI:||http://ktisis.cut.ac.cy/handle/10488/158||ISBN:||9780387741604||DOI:||10.1007/978-0-387-74161-1_38||Rights:||© Springer||Type:||Book Chapter|
|Appears in Collections:||Κεφάλαια βιβλίων/Book chapters|
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