Deep Learning Approaches towards Book Covers Classification
Przemyslaw Buczkowski, Antoni Sobkowicz, Marek Kozlowski
2018
Abstract
Machine learning methods allow computers to use data in less and less structured form. Such data formats were available only to humans until now. This in turn gives opportunities to automate new areas. Such systems can be used for supporting administration of big e-commerce platforms e.g. searching for products with inadequate descriptions. In this paper, we continue to try to extract information about books, but we changed the domain of our predictions. Now we try to make guesses about a book based on an actual cover image instead of short textual description. We compare how much information about the book can be extracted from those sources and describe in detail our model and methodology. Promising results were achieved.
DownloadPaper Citation
in Harvard Style
Buczkowski P., Sobkowicz A. and Kozlowski M. (2018). Deep Learning Approaches towards Book Covers Classification.In Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-276-9, pages 309-316. DOI: 10.5220/0006556103090316
in Bibtex Style
@conference{icpram18,
author={Przemyslaw Buczkowski and Antoni Sobkowicz and Marek Kozlowski},
title={Deep Learning Approaches towards Book Covers Classification},
booktitle={Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2018},
pages={309-316},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006556103090316},
isbn={978-989-758-276-9},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Deep Learning Approaches towards Book Covers Classification
SN - 978-989-758-276-9
AU - Buczkowski P.
AU - Sobkowicz A.
AU - Kozlowski M.
PY - 2018
SP - 309
EP - 316
DO - 10.5220/0006556103090316