The performance of a new content-free approach to image retrieval is demonstrated. Accumulated user feedback data that specify which images are (ir)relevant to each other and keywo...
We propose a new “content-free” image retrieval method which attempts to exploit certain common tendencies that exist among people’s interpretation of images from user feedb...
Content-free image retrieval uses accumulated user feedback records to retrieve images without analyzing image pixels. We present a Bayesian-based algorithm to analyze user feedba...
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...
In many vision problems, instead of having fully annotated training data, it is easier to obtain just a subset of data with annotations, because it is less restrictive for the use...