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In the last decades, the explosion of the volume of digital document images, and the development of consumer tools to modify these images, has lead to a huge increase on reported fraudulent document cases. This situation has promoted the development of automatic methods for both preventing forgeries in modified documents and detecting them. However, document forensics is a sensitive topic. Data is...
The problem of multi-modal and cross-modal lecture videos retrieval is studied in this paper, on the basis of the use of document analysis techniques. In the context of this paper, a lecture video is represented by a set of subjects, in which a subject is represented by a Bag of mixed words -visual words and textual words-, each of them coming from speech recognition and OCR engines. Our work relies...
o reduce the gap between pixel data and the-saurus semantics, this paper presents a novel approach using mapping between two ontologies on images of drop-capitals (also named drop caps or lettrines): In the first ontology, each drop cap image is endowed with semantic information describing its content. It is generated from a database of lettrines images - namely Ornamental Letter Images Data Base...
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