Machine Translation (MT) has progressed tremendously in the past two decades. The rule-based and interlingua approaches have been superseded by statistical models, which learn the most likely translations from large parallel corpora. System design does not ...
Ontologies provide conceptual abstractions over data, in domains such as the Internet of Things, in a way that sensor data can be harvested and interpreted by people and applications. The Semantic Sensor Network (SSN) ontology is the de-facto standard for ...
We propose a novel algorithm for automatic text line extraction on color and grayscale manuscript pages without prior binarization.
Our algorithm is based on seam carving to compute separating seams between text lines.
Seam carving is likely to produce ...