Content-based image search on the Internet is a challenging problem, mostly due to the semantic gap between low-level visual features and high-level content, as well as the excess...
This study addresses the problem of unsupervised visual learning. It examines existing popular model order selection criteria before proposes two novel criteria for improving visu...
We focus on the task of target detection in automatic link generation with Wikipedia, i.e., given an N-gram in a snippet of text, find the relevant Wikipedia concepts that explai...
Compressed domain image processing techniques are becoming increasingly important. Compressed domain retrieval It allows the calculation of image features and hence content-based ...
MetaCrystal enables users to visualize and control the degree of overlap between the results returned by different search engines. Several linked overview tools support rapid expl...