Semantic Content Filtering Using Self-Organizing Neural Networks
Damon Daylamani-Zad · 2007
COSMOS-7 is an application that can create and filter MPEG-7 semantic content models with regards to objects and events, both spatially and temporally. The results are presented as numerous video segments that are all relevant to the user's consumption criteria, yet these results are not ranked according to the user's preferences. Using self organizing networks (SONNs) we rank the segments to the user's preferences by applying the knowledge gained from similar users' experience and use content similarity for new segments to derive a relative ranking. To bridge the gap between the user preferences and the content model, an MPEG- 7 model is proposed that uses the hanging basket model to better relate the users 'preferences and usage history to the content.