Yfcc100m: The new data in multimedia research

B Thomee, DA Shamma, G Friedland… - Communications of the …, 2016 - dl.acm.org
YFCC100M: the new data in multimedia research Page 1 64 COMMUNICATIONS OF THE
ACM | FEBRUARY 2016 | VOL. 59 | NO. 2 contributed articles THE PHOTOGRAPH AND our …

Using AI and social media multimodal content for disaster response and management: Opportunities, challenges, and future directions

M Imran, F Ofli, D Caragea, A Torralba - Information Processing & …, 2020 - Elsevier
Abstract People increasingly use Social Media (SM) platforms such as Twitter and Facebook
during disasters and emergencies to post situational updates including reports of injured or …

A survey of sentiment analysis from social media data

K Chakraborty, S Bhattacharyya… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In the current era of automation, machines are constantly being channelized to provide
accurate interpretations of what people express on social media. The human race nowadays …

[PDF][PDF] The new data and new challenges in multimedia research

B Thomee, DA Shamma, G Friedland… - arXiv preprint arXiv …, 2015 - researchgate.net
We present the Yahoo Flickr Creative Commons 100 Million Dataset (YFCC100M), the
largest public multimedia collection that has ever been released. The dataset contains a …

Location extraction from social media: Geoparsing, location disambiguation, and geotagging

SE Middleton, G Kordopatis-Zilos… - ACM Transactions on …, 2018 - dl.acm.org
Location extraction, also called “toponym extraction,” is a field covering geoparsing,
extracting spatial representations from location mentions in text, and geotagging, assigning …

Which melbourne? augmenting geocoding with maps

M Gritta, MT Pilehvar, N Collier - 2018 - repository.cam.ac.uk
The purpose of text geolocation is to associate geographic information contained in a
document with a set (or sets) of coordinates, either implicitly by using linguistic features …

Real-time analysis and visualization of the yfcc100m dataset

S Kalkowski, C Schulze, A Dengel, D Borth - Proceedings of the 2015 …, 2015 - dl.acm.org
With the Yahoo Flickr Creative Commons 100 Million (YFCC100m) dataset, a novel dataset
was introduced to the computer vision and multimedia research community. To maximize the …

Geotagging text content with language models and feature mining

G Kordopatis-Zilos, S Papadopoulos… - Proceedings of the …, 2017 - ieeexplore.ieee.org
The large-scale availability of user-generated content in social media platforms has recently
opened up new possibilities for studying and understanding the geospatial aspects of real …

G^ 3: Geolocation via Guidebook Grounding

G Luo, G Biamby, T Darrell, D Fried… - arXiv preprint arXiv …, 2022 - arxiv.org
We demonstrate how language can improve geolocation: the task of predicting the location
where an image was taken. Here we study explicit knowledge from human-written …

Extracting semantic knowledge from web context for multimedia IR: a taxonomy, survey and challenges

T Bracamonte, B Bustos, B Poblete… - Multimedia tools and …, 2018 - Springer
Since its invention, the Web has evolved into the largest multimedia repository that has ever
existed. This evolution is a direct result of the explosion of user-generated content …