Abstract
In order to evaluate image annotation and object categorisation algorithms, ground truth in the form of a set of images correctly annotated with text describing each image is required. Statistics on the WordNet categories of keywords collected from recent automated image annotation and object categorisation publications and evaluation campaigns are presented. These statistics provide a snapshot of keywords used to train and test current image annotation systems as well as information on the usefulness of WordNet for categorising them.
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Hanbury, A. (2007). A Study of Vocabularies for Image Annotation. In: Falcidieno, B., Spagnuolo, M., Avrithis, Y., Kompatsiaris, I., Buitelaar, P. (eds) Semantic Multimedia. SAMT 2007. Lecture Notes in Computer Science, vol 4816. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77051-0_35
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DOI: https://doi.org/10.1007/978-3-540-77051-0_35
Publisher Name: Springer, Berlin, Heidelberg
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