Titlebook: Data Analytics for Cultural Heritage; Current Trends and C Abdelhak Belhi,Abdelaziz Bouras,Abdul Hamid Sadka Book 2021 The Editor(s) (if ap

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NoisyArt: Exploiting the Noisy Web for Zero-shot Classification and Artwork Instance Recognition,ly-supervised classes, with a subset of 200 verified test images. Candidate artworks are identified using publicly available metadata repositories, and images are automatically acquired using search engines. Textual description and other information are provided for each artwork and artist, enabling

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Cultural Heritage Image Classification,ication can be particularly challenging due to a high number of different image categories, feature variability, and the need for high reliability. Recent research shows that various machine learning techniques can be utilized for image classification purposes and that algorithms such as artificial

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Crowd Source Framework for Indian Digital Heritage Space, are recognized by UNESCO. We need to preserve the information relevant to the sites in terms of history, art, culture, materials, architecture styles, and their role in the socioeconomic growth. These sites are of interest and value to architects, historians, and tourists for various levels of expl