Content-based similarity retrieval system for image data

摘要

An image retrieval system for retrieving image similarities from a database is proposed. The image retrieval system uses a universal query mechanism (UQM) to locate statistically silent common features among sample query images from different feature sets. The UQM also adjusts the weight factor for each feature to meet a user's query demand.