In this paper, we study the problem of learning block classification models to estimate block functions. We distinguish general models, which are learned across multiple sites, an...
Effective daily processing of large amounts of paper documents in office environments requires the application of semantic-based indexing techniques during the transformation of pa...
Document representations can rapidly become unwieldy if they try to encapsulate all possible document properties, ranging tract structure to detailed rendering and layout. We pres...
In this paper, a new document image binarization technique is presented, as an improved version of the state-of-the-art adaptive logical level technique (ALLT). The original ALLT ...
Several scalable media codecs have been standardized in recent years to cope with heterogeneous usage conditions and to aim at always providing audio, video and image content in t...