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The volume of complex data (images, videos, audio, time series, DNA sequences, and others) has been growing at a very fast pace. Although they are not naturally handled by DataBase Management Systems (DBMSs), it is necessary to store them in databases. Complex data are well-suited to be queried by similarity, and several works have been addressing techniques for similarity searching. However, the majority of the techniques is not conceived to be integrated into a database engine. To include similarity search into the database core requires allow taking advantage of the DBMS resources to perform queries, integrating complex and conventional data.
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