A Comparative Study of Audio and Video Query Retrieval Approaches in Multimedia Databases

Abstract

The tremendous increase in the use of internet has lead towards the need of systems that support wide variety of media. As a result of this
requirement for large type of media has given rise to many challenges in the storage, retrieval and presentation of such large amount of data.
Along with these challenges, the size of data also goes on increasing, it becomes more and more complex and thus increasing the maintenance
overhead. In this paper, we present a comparative study of the existing Q uery Retrieval techniques in Multimedia Databases. We analyze
briefly the Content based retrieval approach , as well as propose a brief comparison of this technique with the other two retrieval techniques
namely Semantic based retrieval and Keyword based retrieval, focusing mainly on audio and video data. This analysis will therefore conclude the
better approach towards multimed ia data retrieval.

Keywords: - Query Optimization techniques, Semantic based retrieval, Multimedia Database, Content based retriev al , Keyword based retrieval.