In this research, we investigated the everyday life of inpatients in a hospital. We found that family members want to meet with inpatients even if they are very busy with their wo...
This paper presents a search engine architecture, RETIN, aiming at retrieving complex categories in large image databases. For indexing, a scheme based on a two-step quantization ...
Philippe Henri Gosselin, Matthieu Cord, Sylvie Phi...
In the last ten years, internet as well as its applications changed significantly, mainly thanks to the raising of available personal resources. Concerning multimedia, the most i...
In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by mea...
Relevance feedback (RF) has been extensively studied in the content-based image retrieval community. However, no commercial Web image search engines support RF because of scalabil...