Title :
Real-time data mining of multimedia objects
Author :
Thuraisingham, Bhavani ; Clifton, Chris ; Maurer, John ; Ceruti, Marion G.
Author_Institution :
Mitre Corp., Bedford, MA, USA
Abstract :
Whereas much of the previous work on data mining has focused on mining data in relational databases, we discuss mining objects. Object models are very popular for representing multimedia data, and therefore we need to mine object databases to extract useful information from the large quantities of multimedia data. We first describe the motivation for multimedia data mining with examples and then discuss object mining with focus on text, image, video and audio mining. We also address the need for real time data mining for multimedia applications
Keywords :
data mining; multimedia databases; object-oriented databases; real-time systems; audio mining; multimedia applications; multimedia data mining; multimedia objects; object databases; object models; real time data mining; relational databases; Data mining; Data visualization; Image databases; Machine learning; Multimedia databases; Parallel processing; Relational databases; Statistics; Technology management; Visual databases;
Conference_Titel :
Object-Oriented Real-Time Distributed Computing, 2001. ISORC - 2001. Proceedings. Fourth IEEE International Symposium on
Conference_Location :
Magdeburg
Print_ISBN :
0-7695-1089-2
DOI :
10.1109/ISORC.2001.922860