  Modern developments in digital media technologies has made transmitting and
storing large amounts of multi/rich media data (e.g. text, images, music, video
and their combination) more feasible and affordable than ever before. However,
the state of the art techniques to process, mining and manage those rich media
are still in their infancy. Advances developments in multimedia acquisition and
storage technology the rapid progress has led to the fast growing incredible
amount of data stored in databases. Useful information to users can be revealed
if these multimedia files are analyzed. Multimedia mining deals with the
extraction of implicit knowledge, multimedia data relationships, or other
patterns not explicitly stored in multimedia files. Also in retrieval, indexing
and classification of multimedia data with efficient information fusion of the
different modalities is essential for the system's overall performance. The
purpose of this paper is to provide a systematic overview of multimedia mining.
This article is also represents the issues in the application process component
for multimedia mining followed by the multimedia mining models.
