Authors:
Przemyslaw Buczkowski
1
;
Antoni Sobkowicz
2
and
Marek Kozlowski
3
Affiliations:
1
National Information Processing Institute and Warsaw University of Technology, Poland
;
2
Warsaw University of Technology, Poland
;
3
National Information Processing Institute, Poland
Keyword(s):
Image Classification, Convolutional Neural Networks, Pattern Recognition, Deep Learning, Machine Learning, Supervised Learning, Artificial Intelligence.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Classification
;
Computer Vision, Visualization and Computer Graphics
;
Geometry and Modeling
;
Image Understanding
;
Image-Based Modeling
;
Pattern Recognition
;
Software Engineering
;
Theory and Methods
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.