Informace o publikaci

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

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BATKO Michal BOTOREK Jan BUDÍKOVÁ Petra ZEZULA Pavel

Rok publikování 2013
Druh Článek ve sborníku
Konference Proceedings of the 17th International Database Engineering & Applications Symposium
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
Doi http://dx.doi.org/10.1145/2513591.2513651
Obor Informatika
Klíčová slova Automatic image annotation; classication; content-based search; hierarchical approach
Popis 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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