caa a22 4500 467936978 CHVBK 20180406153000.0 cr unu---uuuuu 170328e20060501xx s 000 0 eng 10.1007/s00138-006-0017-3 doi (NATIONALLICENCE)springer-10.1007/s00138-006-0017-3 Town Christopher University of Cambridge Computer Laboratory, 15 J.J. Thomson Avenue, CB3 0FD, Cambridge, UK aut Ontological inference for image and video analysis [Elektronische Daten] [Christopher Town] This paper presents an approach to designing and implementing extensible computational models for perceiving systems based on a knowledge-driven joint inference approach. These models can integrate different sources of information both horizontally (multi-modal and temporal fusion) and vertically (bottom-up, top-down) by incorporating prior hierarchical knowledge expressed as an extensible ontology. Two implementations of this approach are presented. The first consists of a content-based image retrieval system that allows users to search image databases using an ontological query language. Queries are parsed using a probabilistic grammar and Bayesian networks to map high-level concepts onto low-level image descriptors, thereby bridging the ‘semantic gap' between users and the retrieval system. The second application extends the notion of ontological languages to video event detection. It is shown how effective high-level state and event recognition mechanisms can be learned from a set of annotated training sequences by incorporating syntactic and semantic constraints represented by an ontology. Springer-Verlag, 2006 Ontologies nationallicence Perceptual inference nationallicence Content-based image retrieval nationallicence Video analysis nationallicence Knowledge-based computer vision nationallicence Machine Vision and Applications Springer-Verlag 17/2(2006-05-01), 94-115 0932-8092 17:2<94 2006 17 138 https://doi.org/10.1007/s00138-006-0017-3 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00138-006-0017-3 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Town Christopher University of Cambridge Computer Laboratory, 15 J.J. Thomson Avenue, CB3 0FD, Cambridge, UK aut NATIONALLICENCE 773 0- Machine Vision and Applications Springer-Verlag 17/2(2006-05-01), 94-115 0932-8092 17:2<94 2006 17 138 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer