Automatic Egyptian Hieroglyph Recognition by Retrieving Images As Texts
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| Publication date | 2013 |
| Book title | MM '13 |
| Book subtitle | proceedings of the 2013 ACM Multimedia Conference : October 21-25, 2013, Barcelona, Spain |
| ISBN |
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| Event | 2013 ACM Multimedia Conference |
| Volume | Issue number | 2 |
| Pages (from-to) | 765-768 |
| Publisher | New York: ACM |
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| 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
(Final published version)
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