Ontological inference for image and video analysis
Machine Vision and Applications
Unsupervised image categorization
Image and Vision Computing
A self-referential perceptual inference framework for video interpretation
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
MuSQL: a music structured query language
MMM'07 Proceedings of the 13th International conference on Multimedia Modeling - Volume Part II
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This paper discusses the design and implementation of the oquel query language for content based image retrieval. The retrieval process takes place entirely within the ontological domain defined by the syntax and semantics of the userquery. Since the system does not rely on the pre-annotationof images with sentences in the language, the format of textqueries is highly flexible. The language is also extensible toallow for the definition of higher level terms such as "cars""people", "buildings" etc. on the basis of existing language constructs.Images are retrieved by deriving an abstract syntax treefrom of a textual user query and probabilistically evaluatingit by analysing the composition and perceptual properties ofsalient image regions in light of the query. The matchingprocess utilises automatically extracted image segmentation and classification information and can incorporate any other feature extraction mechanisms or contextual knowledge available at processing time.