A Multidimensional Query Distance Space for Image Retrieval
نویسنده
چکیده
A Multidimensional Query Distance Space (MQDS) is introduced for image retrieval. This is a querydependent space whose dimension is defined by the number of query colours. Specifically, the distances of the closest indexed colours to the query colours form a vector which lies in the MQDS. The location of this distance vector within the space and its relation to the origin and equidistant line, determines the overall ranking of a given image. The proposed scheme exhibits great flexibility. Querying can be performed in a number of ways, including query-by-colour and query-by-example and also allows incorporation of colour exclusion.
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