VEIL: Combining Semantic Knowledge with Image Understanding
نویسندگان
چکیده
The VEIL system is pioneering two thrusts within the field of image understanding that until now have received relatively little attention. First, VEIL reasons at a semantic level about scene information, using a knowledge base that augments an original image understanding (IU) model (representing the output of a lower level IU system) with structural and functional information. VEIL can apply both spatial and temporal reasoning to detect event sequences that span multiple images. Second, VEIL provides users with an intelligent interface that relies on a library of domainspecific terms and queries to provide a domain-specific browsing and query facility. The library, implemented in Loom as an extensible ontology of domain specific definitions and queries, can be easily customized by a user to facilitate analysis activities.
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