Online data organizer: micro-video categorization by structure-guided multimodal dictionary learning

M Liu, L Nie, X Wang, Q Tian… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Micro-videos have rapidly become one of the most dominant trends in the era of social
media. Accordingly, how to organize them draws our attention. Distinct from the traditional …

The placing task: A large-scale geo-estimation challenge for social-media videos and images

J Choi, B Thomee, G Friedland, L Cao, K Ni… - Proceedings of the 3rd …, 2014 - dl.acm.org
The Placing Task is a yearly challenge offered by the MediaEval Multimedia Benchmarking
Initiative that requires participants to develop algorithms that automatically predict the geo …

Location estimation using crowdsourced spatial relations

G Skoumas, D Pfoser, A Kyrillidis, T Sellis - ACM Transactions on Spatial …, 2016 - dl.acm.org
The “crowd” has become a very important geospatial data provider. Specifically, nonexpert
users have been providing a wealth of quantitative geospatial data (eg, geotagged tweets or …

GridTracer: Automatic mapping of power grids using deep learning and overhead imagery

B Huang, J Yang, A Streltsov… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Energy system information for electricity access planning such as the locations and
connectivity of electricity transmission and distribution towers—termed the power grid—is …

[PDF][PDF] The Placing Task at MediaEval 2015.

J Choi, C Hauff, O Van Laere, B Thomee - MediaEval, 2015 - slim-sig.irisa.fr
The seventh edition of the Placing Task at MediaEval focuses on two challenges:(1)
estimation-based placing, which addresses estimating the geographic location where a …

Global-scale location prediction for social images using geo-visual ranking

X Li, M Larson, A Hanjalic - IEEE Transactions on Multimedia, 2015 - ieeexplore.ieee.org
We propose an automatic method that addresses the challenge of predicting the geo-
location of social images using only the visual content of those images. Our method is able …

City-identification of flickr videos using semantic acoustic features

B Elizalde, GL Chao, M Zeng… - 2016 IEEE Second …, 2016 - ieeexplore.ieee.org
City-identification of videos aims to determine the likelihood of a video belonging to a set of
cities. In this paper, we present an approach using only audio, thus we do not use any …

Audio content based geotagging in multimedia

A Kumar, B Elizalde, B Raj - arXiv preprint arXiv:1606.02816, 2016 - arxiv.org
In this paper we propose methods to extract geographically relevant information in a
multimedia recording using its audio. Our method primarily is based on the fact that urban …

[PDF][PDF] Augmenting Automated Kinship Verification with Targeted Human Input.

D Hettiachchi, N van Berkel, S Hosio, MB López… - PACIS, 2020 - jorgegoncalves.com
Kinship verification is the problem whereby a third party determines whether two people are
related. Despite previous research in Psychology and Machine Vision, the factors affecting a …

The benchmark as a research catalyst: Charting the progress of geo-prediction for social multimedia

M Larson, P Kelm, A Rae, C Hauff, B Thomee… - … Location Estimation of …, 2015 - Springer
Benchmarks have the power to bring research communities together to focus on specific
research challenges. They drive research forward by making it easier to systematically …