We introduce a new multimodal retrieval technique which combines query reformulation and visual image reranking in order to deal with results sparsity and imprecision, respectively...
A system to retrieve images using a description of the image intensity surface is presented. Gaussian derivative lters at several scales are applied to the image and low order 2D ...
This paper presents a medical image retrieval framework that uses visual concepts in a feature space employing statistical models built using a probabilistic multi-class support v...
Md. Mahmudur Rahman, Sameer Antani, George R. Thom...
In this article we focus on the presentation of the inner structure of the database for the Content-Based Image Retrieval (CBIR) system containing house images. The part devoted t...
We present a Bayesian framework for content-based image retrieval which models the distribution of color and texture features within sets of related images. Given a userspecified ...