@article{zaharieva_cross-platform_2015, title = {Cross-{Platform} {Social} {Event} {Detection}}, volume = {22}, issn = {1070-986X}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7045414&tag=1}, doi = {10/gh3773}, abstract = {It is becoming more and more popular to share personal experiences on platforms such as Flickr and YouTube. Uploaded media is usually described by both technical and user-generated metadata that is commonly used for their access and retrieval. Thus, a crucial aspect in this context is the quality and reliability of provided metadata. The mining of media across sharing platforms bears the additional challenge about potential di⬚erences in the maintained metadata. In order to provide a baseline for further research, we perform a thorough evaluation of the usefulness of available metadata in the context of social event detection in both single media repository scenario and across di⬚erent platforms.}, number = {3}, journal = {IEEE Multimedia}, author = {Zaharieva, Maia and Del Fabro, Manfred and Zeppelzauer, Matthias}, month = jan, year = {2015}, keywords = {2015, Center for Artificial Intelligence, Computer Vision, Creative Industries, Department Technologie, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Computing, Institut für Creative Media Technologies, Machine Learning, Media Computing Group, Pattern recognition, Publikationstyp Schriftpublikation, Wiss. Beitrag, best, best-mzeppelzauer, peer-reviewed}, pages = {14}, }