Recently, semantic image retrieval has attracted large amount of interest due to the rapid growth of digital image storage. However, existing approaches have severe limitations. I...
One of the most important tasks in medical image analysis is to detect the absence or presence of disease in an image, without having precise delineations of pathology available f...
This paper presents the UESTC contribution to the ImageCLEF 2010 medical retrieval task. For ad-hoc retrieval and case-based retrieval, we only use text information, and propose a ...
One of the difficulties of Content-Based Image Retrieval (CBIR) is the gap between high-level concepts and low-level image features, e.g., color and texture. Relevance feedback wa...
Abstract. This working notes paper describes our first participation in the ImageCLEF2010 Wikipedia Retrieval Task[1]. In this task, we mainly test our Quantum Theory inspired retr...