Whereas many advances have been made in the past few years in computational techniques and methods for the study of massive amounts of online available data, research in the field has been striving with the challenges posed by the visual component of these objects. Although computer vision techniques have been known for decades, their limits as automated annotation tools – or the prohibitive costs and technical complexity of more recent adequate approaches – have been hindering their application in the humanities and social sciences. Addressing this matter, the course will present and discuss a set of methods and tools for studying large visual datasets which are based in the recent availability of cloud computing computer vision frameworks, dealing specifically with the Google Vision API. Possibilities and limitations of these techniques will be discussed, in addition to the learning of their implementation in research practice.
˚ ˚ Applications and Tuition Fee ˚ ˚
Please send an email to smart.inovamedialab[at]fcsh.unl.pt with your CV (with photo) and a brief statement introducing your research interests and explaining how this workshop may benefit your current work. The deadline for applications is 8 January 2018.
The cost of “Image Networks” is 160 euros for the general public. There is a different fee for NOVA students (135 euros). The fee must be paid by 10 January 2018.
There is a special fee for those who are interested in SMART Data Sprint:
|Courses||Deadline for applications||Tuition Fee*|
|Image Networks: Automated Analysis of Visual Content||8 January 2018||
EUR 160 – [all participants]
EUR 135 – [NOVA students]
SMART Data Sprint: Interpreters of Platform Data
Image Networks: Automated Analysis of Visual Content
|8 January 2018||
EUR 385 – [all participants]
EUR 325- [NOVA students]
* The fee must be paid by 10 January 2018.
André Mintz – PhD candidate in Communication Studies, Universidade Federal de Minas Gerais (Brazil), researcher of the Intermedia Connections Research Group (NucCon). MA in Communication Studies, Universidade Federal de Minas Gerais (Brazil). MA in Media Arts Cultures, Aalborg University (Denmark), Lodz University (Poland) and Danube University Krems (Austria).