We present an automated Image Annotation system called I-Tag which uses both visual and textual information of the images and recommends relevant tags for them. The automatic gene...
In this article, we present the algorithms and results of our participation in the medical image annotation and retrieval tasks of ImageCLEFmed 2006. We exploit both global featur...
Jing Liu, Yang Hu, Mingjing Li, Songde Ma, Wei-Yin...
We propose a semi-supervised model which segments and annotates images using very few labeled images and a large unaligned text corpus to relate image regions to text labels. Give...
This paper addresses automatic image annotation problem and its application to multi-modal image retrieval. The contribution of our work is three-fold. (1) We propose a probabilis...
The challenges of searching the increasingly large collections of digital images which are appearing in many places mean that automated annotation of images is becoming an importan...