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...
Leveraging information from relevance assessments has been proposed as an effective means for improving retrieval. We introduce a novel language modeling method which uses inform...
This paper presents a new Picture Archiving and Communication System (PACS), called cbPACS which has content-based image retrieval resources. The cbPACS answers similarity queries...
Josiane M. Bueno, Fabio Jun Takada Chino, Agma J. ...
Exhibiting new features and likely related matching techniques to efficiently retrieve images from databases remains an open problem. This paper is first devoted to such a novel d...
Sets of local features that are invariant to common image transformations are an effective representation to use when comparing images; current methods typically judge feature set...