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Abstract

In an image database environment, an image can be retrieved using common names of entities that appear in it. Shows how an image is abstracted into a hierarchy of entity names and features and how relations are established between entities visible in the image. Semantic queries are also hierarchical. Its core is a fuzzy matching technique that compares semantic queries to image abstractions by assessing the similarity of contexts between the query and the candidate image. An important object of this matching technique is to distinguish between abstractions of different images that have the same labels but are different in context from each other. Each image is tagged with a matching degree even when it does not provide an exact match of the query. Experiments have been conducted to evaluate the strategy