Abstract
In the literature, all methods that represent Maya hieroglyphs compute local descriptors from the hieroglyph foreground. However, the background of a hieroglyph also contains information of its shape. Therefore, in this paper, we propose a new Maya hieroglyph representation that includes information from both, the foreground and the background. Our experimental results show that our proposal for representing Maya hieroglyphs allows obtaining better retrieval results than those previously reported in the state of the art.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Roman-Rangel, E., Pallan Gayol, C., Odobez, J.M., Gatica-Perez, D.: Retrieving ancient Maya glyphs with shape context. In: 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops, pp. 988–995, September 2009
Roman-Rangel, E., Pallan Gayol, C., Odobez, J.M., Gatica-Perez, D., Gatica-Perez, D.: Analyzing ancient Maya glyph collections with contextual shape descriptors. Int. J. Comput. Vis. 94(1), 101–117 (2011)
Roman-Rangel, E., Pallan Gayol, C., Odobez, J.M., Gatica-Perez, D.: Searching the past: an improved shape descriptor to retrieve Maya hieroglyphs. In: Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, 28 November–1 December 2011, pp. 163–172 (2011)
Roman-Rangel, E., Odobez, J.-M., Gatica-Perez, D.: Evaluating shape descriptors for detection of maya hieroglyphs. In: Carrasco-Ochoa, J.A., Martínez-Trinidad, J.F., Rodríguez, J.S., di Baja, G.S. (eds.) MCPR 2013. LNCS, vol. 7914, pp. 145–154. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-38989-4_15
Sivic, J., Zisserman, A.: Video Google: a text retrieval approach to object matching in videos. In: Proceedings of the International Conference on Computer Vision, vol. 2, pp. 1470–1477 (2003)
Roman-Rangel, E., Marchand-Maillet, S.: Shape-based detection of maya hieroglyphs using weighted bag representations. Pattern Recogn. 48(4), 1161–1173 (2015)
Seidl, M., Wieser, E., Alexander, C.: Automated classification of petroglyphs. Digit. Appl. Archaeol. Cultural Heritage 2(2), 196–212 (2015). Digital imaging techniques for the study of prehistoric rock art.
Zhang, T.Y., Suen, C.Y.: A fast parallel algorithm for thinning digital patterns. Commun. ACM 27(3), 236–239 (1984)
Vincent, L.: Morphological area openings and closings for grey-scale images. In: O, Y.-L., Toet, A., Foster, D., Heijmans, H.J.A.M., Meer, P. (eds.) Shape in Picture, pp. 197–208. Springer, Heidelberg (1994). https://doi.org/10.1007/978-3-662-03039-4_13
Belongie, S., Malik, J., Puzicha, J.: Shape context: a new descriptor for shape matching and object recognition. In: NIPS, pp. 831–837 (2000)
Roman-Rangel, E., Marchand-Maillet, S.: HOOSC128: a more robust local shape descriptor. In: Martínez-Trinidad, J.F., Carrasco-Ochoa, J.A., Olvera-Lopez, J.A., Salas-Rodríguez, J., Suen, C.Y. (eds.) MCPR 2014. LNCS, vol. 8495, pp. 172–181. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-07491-7_18
Acknowledgment
This work was partly supported by the National Council of Science and Technology of México (CONACyT) under the scholarship grant 401885.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Pinilla-Buitrago, L.A., Carrasco-Ochoa, J.A., Martinez-Trinidad, J.F. (2018). Including Foreground and Background Information in Maya Hieroglyph Representation. In: Martínez-Trinidad, J., Carrasco-Ochoa, J., Olvera-López, J., Sarkar, S. (eds) Pattern Recognition. MCPR 2018. Lecture Notes in Computer Science(), vol 10880. Springer, Cham. https://doi.org/10.1007/978-3-319-92198-3_24
Download citation
DOI: https://doi.org/10.1007/978-3-319-92198-3_24
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-92197-6
Online ISBN: 978-3-319-92198-3
eBook Packages: Computer ScienceComputer Science (R0)