One of the main challenges in CBIR systems is to choose discriminative and compact
features, among dozens, to represent the images under comparison. Over the years, a great …

Due to the large diversity of existing feature descriptors in content-based image retrieval, the
image contents can be better represented by the joint use of several descriptors in order to …

We address the problem of cross-domain image localization, ie, the ability of estimating the
pose of a landmark from visual content acquired under various conditions, such as old …

The rapid growth of image digitization and collections in recent years makes it challenging
and burdensome to organize, categorize, and retrieve similar images from voluminous …

Content-based image retrieval (CBIR) is a technique for images retrieval based on their
visual features, ie induced by their pixels. The images are, classically, described by the …

With the large number of local feature detectors and descriptors in the literature of Content-
Based Image Retrieval (CBIR), in this work we propose a solution to predict the optimal …

In this paper a Content Based Image Retrieval approach is presented that combines
weighted features. The determination of feature's weight involves examination by K …