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@inproceedings{1127649,
author = {Batko, Michal and Botorek, Jan and Budíková, Petra and Zezula, Pavel},
address = {New York, NY, USA},
booktitle = {Proceedings of the 17th International Database Engineering & Applications Symposium},
doi = {http://dx.doi.org/10.1145/2513591.2513651},
keywords = {Automatic image annotation; classication; content-based search; hierarchical approach},
howpublished = {paměťový nosič},
language = {eng},
location = {New York, NY, USA},
isbn = {978-1-4503-2025-2},
pages = {58-67},
publisher = {ACM},
title = {Content-based annotation and classification framework: a general multi-purpose approach},
year = {2013}
}
TY - JOUR
ID - 1127649
AU - Batko, Michal - Botorek, Jan - Budíková, Petra - Zezula, Pavel
PY - 2013
TI - Content-based annotation and classification framework: a general multi-purpose approach
PB - ACM
CY - New York, NY, USA
SN - 9781450320252
KW - Automatic image annotation
KW - classication
KW - content-based search
KW - hierarchical approach
N2 - Unprecedented amounts of digital data are becoming available nowadays, but frequently the data lack some semantic information necessary to effectively organize these resources. For images in particular, textual annotations that represent the semantics are highly desirable. Only a small percentage of images is created with reliable annotations, therefore a lot of effort is being invested into automatic image annotation. In this paper, we address the annotation problem from a general perspective and introduce a new annotation model that is applicable to many text assignment problems. We also provide experimental results from several implemented instances of our model.
ER -
BATKO, Michal, Jan BOTOREK, Petra BUDÍKOVÁ and Pavel ZEZULA. Content-based annotation and classification framework: a general multi-purpose approach. In \textit{Proceedings of the 17th International Database Engineering \&{} Applications Symposium}. New York, NY, USA: ACM, 2013, p.~58-67. ISBN~978-1-4503-2025-2. Available from: https://dx.doi.org/10.1145/2513591.2513651.
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