In this paper, we propose a novel segmentation-free approach for keyword search in historical typewritten documents combining image preprocessing, synthetic data creation, word sp...
Basilios Gatos, Thomas Konidaris, Kostas Ntzios, I...
We propose a new method for automated large scale gathering of Web images relevant to specified concepts. Our main goal is to build a knowledge base associated with as many conce...
Indexing and segmenting of video content by motion, color and texture has been intensively explored leading to a usual representation in a storyboard. In this paper, a novel metho...
In content based image retrieval, color indexing is one of the most prevalent retrieval methods. In literature, most of the attention has been focussed on the color model with lit...
As one of the most effective query expansion approaches, local feedback is able to automatically discover new query terms and improve retrieval accuracy for different retrieval ...