Rui Hu
ABSTRACT
We propose an automatic Maya hieroglyph retrieval method integrating shape and glyph context information. Two recent local shape descriptors, Gradient Field Histogram of Orientation Gradient (GF-HOG) and Histogram of Orientation Shape Context (HOOSC), are evaluated. To encode the context information, we propose to convert each Maya glyph block into a first-order Markov chain and apply the co-occurrence of neighbouring glyphs. The retrieval results obtained based on visual matching are therefore re-ranked. Experimental results show that our method can significantly improve the glyph retrieval accuracy even with a basic co-occurrence model. Furthermore, two unique glyph datasets are contributed which can be used as novel shape benchmarks in future research.
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Index Terms
- Automatic Maya hieroglyph retrieval using shape and context information
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