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Towards a Hierarchical Multitask Classification Framework for Cultural Heritage

2018

Digital technologies such as 3D imaging, data analytics and computer vision opened the door to a large set of applications in cultural heritage. Digital acquisition of a cultural assets takes nowadays a couple of seconds thanks to the achievements in 2D and 3D acquisition technologies. However, enriching these cultural assets with labels and relevant metadata is still not fully automatized especially due to their nature and specificities. With the recent publication of several cultural heritage datasets, many researchers are tackling the challenge of effectively classifying and annotating digital heritage. The challenges that are often addressed are related to visual recognition and image c…

Computer scienceData field02 engineering and technology[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Multitask ClassificationCultural diversity0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]Digital preservationComputingMilieux_MISCELLANEOUSContextual image classificationDigital heritagebusiness.industryDeep learningConvolutional Neural Networks[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020206 networking & telecommunicationsData scienceMetadataCultural heritageDigital preservationCultural heritage020201 artificial intelligence & image processingArtificial intelligencebusinessClassifier (UML)
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