SAMMI: semantic affect-enhanced multimedia indexing

Multimedia indexing is about developing techniques allowing people to effectively find media. Content-based methods become necessary when dealing with big databases. Current technology allows exploring the emotional space which is known to carry very interesting semantic information. In this paper we state the need for an integrated method which extracts reliable affective information and attaches this semantic information to the medium itself. We present a list of possible applications and advantages that the emotional information can bring about together with a framework called SAMMI and the preliminary results of this newly initiated research work.