Computational identification of significant actors in paintings through symbols and attributes
نویسندگان
چکیده
The automatic analysis of fine art paintings presents a number novel technical challenges to artificial intelligence, computer vision, machine learning, and knowledge representation quite distinct from those arising in the traditional photographs. most important difference is that many realist depict stories or episodes order convey lesson, moral, meaning . One early step interpretation extraction artworks identifications figures (“actors”). In Christian art, specifically, one must identify actors Biblical episode story depicted, an “understanding” artwork. We designed auto-matic system based on deep convolutional neural net-works simple database saints throughout six centuries large part upon saints’ symbols attributes Our work rep-resents initial steps broad task se- mantic messages art.
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ژورنال
عنوان ژورنال: IS&T International Symposium on Electronic Imaging Science and Technology
سال: 2021
ISSN: ['2470-1173']
DOI: https://doi.org/10.2352/issn.2470-1173.2021.14.cvaa-015