The vector-space retrieval model and Latent Semantic Indexing approaches to retrieval have been used heavily in the field of text information retrieval over the past years. The use of these approaches in image retrieval, however, has been somewhat limited. In this paper, we present methods for using these techniques in combination with an invariant image representation based on local descriptor...

Digital pathology and telepathology allow an extended usage of electronic images for diagnostics, support or educational purposes in anatomical or clinical pathology. Current approaches have not found wide acceptance in routine pathology, mainly due to limitations of image retrieval. In this paper we propose a semantic retrieval system for the pathology domain. The system combines text and imag...

Digital pathology or telepathology intends to extend the usage of electronic images for diagnostical, support or educational purposes in anatomical or clinical pathology. Available approaches have not found wide acceptance in routine pathology, mainly due to the limitations of image retrieval. In this paper we propose a semantic retrieval system for the pathology domain. The system brings both ...

To utilize users’ relevance feedback is a significant and challenging issue in content-based image retrieval due to its capability of narrowing the “semantic gap” between the low-level features and the higher-level concepts. This paper proposes a novel relevance feedback framework for image retrieval based on Ant Colony algorithm, by accumulating users’ feedback to construct a “hidden” semantic...

This paper presents the approaches used by the MIRACLE team to image retrieval at ImageCLEF 2005. Text-based and content-based techniques have been tested, along with combination of both types of methods to improve image retrieval. The text-based experiments defined this year try to use semantic information sources, like thesaurus with semantic data or text structure. On the other hand, content...

Image-text retrieval in remote sensing aims to provide flexible information for data analysis and application. In recent years, state-of-the-art methods are dedicated “scale decoupling” “semantic strategies further enhance the capability of representation. However, these previous approaches focus on either disentangling scale or semantics but ignore merging two ideas a union model, which extrem...

The increasing prevalence of broadband Internet access is making it easier to obtain rich contents like images, and more people are attempting image retrieval. We focus on how to present web image retrieval results to users. Most retrieval results contain multiple topics. To offset this complexity, many papers have discussed text retrieval result clustering [11][14]. In result clustering, we cl...