Recently, various crowdsourcing initiatives showed that targeted efforts of

user communities result in massive amo

Aroyo, L. (Lora)

Gligorov, R.

Hildebrand, M. (Michiel)

Ossenbruggen, J.R. (Jacco) van

Schreiber, G. (Guus)

English

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 \emph{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 vocabulary 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 \emph{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

compare the tags to the video subtitles to determine how many tags are derived

from the audio signal. In addition, 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

On the Role of User-generated Metadata in Audio Visual Collections

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