Nowadays, the cultural heritage understanding has become invaluable for a better analysis of history and traditions worldwide. In the last years, machine learning, intelligent systems and statistical analysis played a key role in the extraction, analysis and identification of patterns from visual data in different real-life aspects. In this context, the main goal of the 1st International Workshop on Visual Pattern Extraction and Recognition for Cultural Heritage Understanding (VIPERC 2019) was presenting the advancement in visual pattern extraction, analysis and recognition aiming to preserve the cultural heritage. The event was organised as an international research forum by the University of Calabria, the University of East Sarajevo, the Technical University of Sofia, the Mathematical Institute of the Serbian Academy of Sciences and Arts, the Ionian University and the University of Belgrade.

VIPERC 2019: Visual pattern extraction and recognition for cultural heritage understanding

Amelio A.;
2019-01-01

Abstract

Nowadays, the cultural heritage understanding has become invaluable for a better analysis of history and traditions worldwide. In the last years, machine learning, intelligent systems and statistical analysis played a key role in the extraction, analysis and identification of patterns from visual data in different real-life aspects. In this context, the main goal of the 1st International Workshop on Visual Pattern Extraction and Recognition for Cultural Heritage Understanding (VIPERC 2019) was presenting the advancement in visual pattern extraction, analysis and recognition aiming to preserve the cultural heritage. The event was organised as an international research forum by the University of Calabria, the University of East Sarajevo, the Technical University of Sofia, the Mathematical Institute of the Serbian Academy of Sciences and Arts, the Ionian University and the University of Belgrade.
2019
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11564/770143
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