Query acceleration in multimedia database systems. (c2014)

Abstract

With the increasing popularity of the World Wide Web comes the enormous increase in stored digital contents, which could challenge users to search and use the multimedia data efficiently. This work focuses on hastening techniques for efficient retrieval of multimedia data. In this thesis, we exploit the use of bit-vectors to accelerate queries in multimedia databases. We also use a compressed bit-vector to minimize the amount of data cashed on disk; thus reducing the amount of memory and time needed to execute queries. We also compare our scheme with other related strategies.