User feedback is widely deployed in recent multimedia research to refine retrieval performance. However, most of the existing online learning algorithms handle interactions of a s...
Active learning is a framework that has attracted a lot of research interest in the content-based image retrieval (CBIR) in recent years. To be effective, an active learning syste...
This article describes the participation of the University and Hospitals of Geneva at three tasks of the 2007 ImageCLEF image retrieval benchmark. The visual retrieval techniques r...
Xin Zhou, Julien Gobeill, Patrick Ruch, Henning M&...
Nowadays we enter the Web 2.0 era where people’s participation is a key principle. In this context, collective annotations enable to share and discuss readers’ feedback with r...
Guillaume Cabanac, Max Chevalier, Claude Chrisment...
Although relevance feedback has been extensively studied in content-based image retrieval in the academic area, no commercial web image search engine has employed the idea. There ...
En Cheng, Feng Jing, Mingjing Li, Wei-Ying Ma, Hai...