| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 409072 | Neurocomputing | 2008 | 9 Pages |
Abstract
COSMOS-7 models semantic content in MPEG-7 such as objects and events and their spatio-temporality. When a user queries a COSMOS-7 model, the output is usually presented as a sequence of relevant, albeit unranked, video segments through which the user must sift. In this paper, we report how we use Self-Organising Neural Networks (SONNs) to cluster and rank the video segments through consideration of user preferences and knowledge gained from usage of the same content by similar users and of similar content by the same user.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Marios C. Angelides, Anastasis A. Sofokleous,