Image classification is an important task in computer vision. However, how to assign suitable labels to images is a subjective matter, especially when some images can be categoriz...
This paper presents a new framework called fuzzy relevance feedback in interactive content-based image retrieval (CBIR) systems based on soft-decision. An efficient learning appro...
Abstract. In this report, we describe our studies with cross language and interactive image retrieval in ImageCLEF 2004. Typical cross language retrieval requires special linguisti...
Vineet Bansal, Chen Zhang, Joyce Y. Chai, Rong Jin
We describe an interactive system for content based image retrieval. The system presents the user with 15 randomly selected images from the database. The user grades the images wit...
In relevance feedback, active learning is often used to alleviate the burden of labeling by selecting only the most informative data. Traditional data selection strategies often c...