Proceedings of the international workshop on Workshop on multimedia information retrieval
International Journal of Intelligent Systems Technologies and Applications
Relevance feedback for category search in music retrieval based on semantic concept learning
Multimedia Tools and Applications
An evaluation study of clustering algorithms in the scope of user communities assessment
Computers & Mathematics with Applications
Future Generation Computer Systems
Clustering of video packets using interactive refinement by relevance feedback
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
Improved adaboost-based image retrieval with relevance feedback via paired feature learning
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
On-line spectral learning in exploring 3d large scale geo-referred scenes
EuroMed'12 Proceedings of the 4th international conference on Progress in Cultural Heritage Preservation
Hi-index | 0.00 |
Modeling multimedia content by identifying semantically meaningful entities can be arduous because it is difficult to simulate human perception. However, by creating an algorithm to respond interactively to user preference, content-retrieval systems can become more efficient and easier to use.