| Abstract |
Recently, various crowdsourcing initiatives showed that targeted efforts
of user communities result in massive amounts of tags. For example, the
Netherlands Institute for Sound and Vision collected a large number of
tags with the video labeling game Waisda?. To successfully utilize these
tags, a better understanding of their characteristics is required. The
goal of this paper is twofold: (i) to investigate the vocabu lary that
users employ when describing videos and compare it to the vocabularies
used by professionals; and (ii) to establish which aspects of the video
are typically described and what type of tags are used for this. We
report on an analysis of the tags collected with Waisda?. With respect
to the first goal, we compared the the tags with a typical domain
thesaurus used by professionals, as well as with a more general
vocabulary. With respect to the second goal, we perform a qualitative
study in which a tag sample is interpreted in terms of an existing
annotation classification framework. The results suggest that the tags
complement the metadata provided by professional cataloguers, the tags
describe both the audio and the visual aspects of the video, and the
users primarily describe objects in the video using general descriptions. |