TY  - CONF
AU  - Raul Gomez
AU  - Lluis Gomez
AU  - Jaume Gibert
AU  - Dimosthenis Karatzas
A2  - ECCVW
PY  - 2018//
TI  - Learning from# Barcelona Instagram data what Locals and Tourists post about its Neighbourhoods
T2  - LNCS
BT  - 15th European Conference on Computer Vision Workshops
SP  - 530
EP  - 544
VL  - 11134
N2  - Massive tourism is becoming a big problem for some cities, such as Barcelona, due to its concentration in some neighborhoods. In this work we gather Instagram data related to Barcelona consisting on images-captions pairs and, using the text as a supervisory signal, we learn relations between images, words and neighborhoods. Our goal is to learn which visual elements appear in photos when people is posting about each neighborhood. We perform a language separate treatment of the data and show that it can be extrapolated to a tourists and locals separate analysis, and that tourism is reflected in Social Media at a neighborhood level. The presented pipeline allows analyzing the differences between the images that tourists and locals associate to the different neighborhoods. The proposed method, which can be extended to other cities or subjects, proves that Instagram data can be used to train multi-modal (image and text) machine learning models that are useful to analyze publications about a city at a neighborhood level. We publish the collected dataset, InstaBarcelona and the code used in the analysis.
UR  - https://link.springer.com/chapter/10.1007/978-3-030-11024-6_41
L1  - http://refbase.cvc.uab.es/files/GGG2018b.pdf
N1  - DAG; 600.129; 601.338; 600.121
ID  - Raul Gomez2018
ER  -