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Summary: Seminal: Additive Semantic Content for Multimedia Streams
Sami Rollins
Department of Computer Science
University of California
Santa Barbara, CA 93106-5110
srollins@cs.ucsb.edu
Kevin C. Almeroth
Department of Computer Science
University of California
Santa Barbara, CA 93106-5110
almeroth@cs.ucsb.edu
Abstract
Technological advances such as higher network bandwidth and
greater end-user computing power provide the basis for new types
of media rich applications. As applications produce larger num-
bers of more diverse media streams, the content becomes too
overwhelming to be useful in its raw form. The contribution of
this work is the initial design of Seminal, a model that solves
the problem of multimedia overload by enhancing multimedia
streams with semantic information about their content and rela-
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