A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf.
Classified Ranking of Semantic Content Filtered Output Using Self-organizing Neural Networks
[chapter]
2006
Lecture Notes in Computer Science
Preserved Fulltext
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. These results are not ranked to the user's ranking of relevancy, which means the user must now laboriously sift through them. Using self organizing networks we rank the segments to the user's preferences by applying the knowledge gained
doi:10.1007/11840930_6
fatcat:technavewfbd3hg3doj7o5iy44