Content-based annotation and classification framework: a general multi-purpose approach

This publication doesn't include Faculty of Arts. It includes Faculty of Informatics. Official publication website can be found on muni.cz.

Authors

BATKO Michal BOTOREK Jan BUDÍKOVÁ Petra ZEZULA Pavel

Type Article in Proceedings
Conference Proceedings of the 17th International Database Engineering & Applications Symposium
MU Faculty or unit

Faculty of Informatics

Citation
Doi http://dx.doi.org/10.1145/2513591.2513651
Field Informatics
Keywords Automatic image annotation; classication; content-based search; hierarchical approach
Description 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.
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