Learning image representation by deep model has recently made remarkable achievements for semantic-oriented applications, such as image classification. However, for usercentric t...
Crowdsourcing is a popular tool for conducting subjective evaluations in uncontrolled environments and at low cost. In this paper, a crowdsourcing study is conducted to investigat...
Music consists of several structures and patterns evolving through time which greatly influences the human decoding of higher-level cognitive aspects of music like the emotions e...
We propose a data-driven geolocation method on microblog text. Key idea underlying our approach is sparse coding, an unsupervised learning algorithm. Unlike conventional positioni...
Every culture and language is unique. Our work expressly focuses on the uniqueness of culture and language in relation to human affect, specifically sentiment and emotion semant...
Brendan Jou, Tao Chen, Nikolaos Pappas, Miriam Red...
Smart lenses are detachable lenses connected to mobile devices via wireless networks, which are not constrained by the small form factor of mobile devices, and have potential to d...
MatConvNet is an open source implementation of Convolutional Neural Networks (CNNs) with a deep integration in the MATLAB environment. The toolbox is designed with an emphasis on ...
In this paper, we propose a new method to obtain customized video summarization according to specific user preferences. Our approach is tailored on Cultural Heritage scenario and...
This paper overviews ongoing work that aims to support end-users in conveniently exploring and exploiting large audiovisual archives by deploying multiple multimodal linking appro...
Roeland Ordelman, Robin Aly, Maria Eskevich, Benoi...
Massive amounts of digital media is being produced and consumed daily on the Internet. Efficient access to relevant information is of key importance in contemporary society. The H...
Maria Eskevich, Huynh Nguyen, Mathilde Sahuguet, B...