Analytical Classification of Multimedia Index Structures by Using a Partitioning Method-Based Framework
Due to the advances in hardware technology and increase in production of multimedia data in many applications, during the last decades, multimedia databases have become increasingly important. Content-based multimedia retrieval is one of an important research area in the field of multimedia databases. Lots of research on this field has led to proposition of different kinds of index structures to support fast and efficient similarity search to retrieve multimedia data from these databases. Due to variety and plenty of proposed index structures, the authors suggest a systematic framework based on partitioning method used in these structures to classify multimedia index structures, and then they evaluated these structures based on important functional measures.