| Authors |
|
| Publication date |
2013
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| Book title |
MM '13
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| Book subtitle |
proceedings of the 2013 ACM Multimedia Conference : October 21-25, 2013, Barcelona, Spain
|
| ISBN |
|
| Event |
2013 ACM Multimedia Conference
|
| Volume | Issue number |
2
|
| Pages (from-to) |
765-768
|
| Publisher |
New York: ACM
|
| Organisations |
-
Faculty of Science (FNWI) - Informatics Institute (IVI)
|
| Abstract |
In this paper we propose an approach for automatically recognizing ancient Egyptian hieroglyph from photographs. To this end we first manually annotated and segmented a large collection of nearly 4,000 hieroglyphs. In our automatic approach we localize and segment each individual hieroglyph, determine the reading order and subsequently evaluate 5 visual descriptors in 3 different matching schemes to evaluate visual hieroglyph recognition. In addition to visual-only cues, we use a corpus of Egyptian texts to learn language models that help re-rank the visual output.
|
| Document type |
Conference contribution
|
| Language |
English
|
| Published at |
https://doi.org/10.1145/2502081.2502199
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| Other links |
http://www.science.uva.nl/research/publications/2013/FrankenICM2013
|
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