CONF ruihu_ACMMM_2014/IDIAP Automatic Maya Hieroglyph Retrieval Using Shape and Context Information Hu, Rui Pallan, Carlos Krempel, Guido Odobez, Jean-Marc Gatica-Perez, Daniel EXTERNAL https://publications.idiap.ch/attachments/papers/2014/ruihu_ACMMM_2014.pdf PUBLIC ACM MM 2014 4 https://www.idiap.ch/dataset/maya-codex URL 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.