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  Analytical Classification of Multimedia Index Structures by Using a Partitioning Method-Based Framework
 
 
Titel: Analytical Classification of Multimedia Index Structures by Using a Partitioning Method-Based Framework
Auteur: Mohammadreza keyvanpour
Najva Izadpanah
Verschenen in: The international journal of multimedia & its applications
Paginering: Jaargang 3 (2011) nr. 1 pagina's 55-66
Jaar: 2011
Inhoud: 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. Contentbasedmultimedia 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, we suggest a systematic framework based on partitioning method used in these structures to classify multimedia index structures, and then we evaluated these structures based onimportant functional measures. We hope this proposed framework will lead to empirical and technical comparison of multimedia index structures and development of more efficient structures at future.
Uitgever: Academy & Industry Research Collaboration Center (AIRCC) (provided by DOAJ)
Bronbestand: Elektronische Wetenschappelijke Tijdschriften
 
 

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