Relevance feedback is a powerful query modification technique in the field of content-based image retrieval. The key issue in relevance feedback is how to effectively utilize the ...
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
Abstract. The proposed work exploits methods and techniques for automatic characterization of images for content-based access to personal photo libraries. Several techniques, even ...
A new system, RAIDER (Retrieval and Annotation of Image Databases), has been developed for the management of image databases. RAIDER was designed to combat the inadequacies and in...
In this paper, we will show how non-photorealistic rendering (NPR) can take a new role in content-based image retrieval (CBIR). We propose a content-based image retrieval method. ...