Div400: a social image retrieval result diversification dataset

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Bogdan Ionescu, Anca-Livia Radu, Maria Menendez Blanco, Henning Müller, Adrian Popescu, Babak Loni

In this paper we propose a new dataset, Div400, that was designed
to support shared evaluation in different areas of social
media photo retrieval, e.g., machine analysis (re-ranking,
machine learning), human-based computation (crowdsourcing)
or hybrid approaches (relevance feedback, machinecrowd
integration). Div400 comes with associated relevance
and diversity assessments performed by human annotators.
396 landmark locations are represented via 43,418 Flickr
photos and metadata, Wikipedia pages and content descriptors
for text and visual modalities. To facilitate distribution,
only Creative Commons content was included in the
dataset. The proposed dataset was validated during the
2013 Retrieving Diverse Social Images Task at the MediaEval
Benchmarking Initiative for Multimedia Evaluation.
OriginalsprogEngelsk
TitelProceedings of the 2014 International ACM Workshop on Crowdsourcing for Multimedia
Publikationsdato2014
StatusUdgivet - 2014
Eksternt udgivetJa

ID: 176820792