This paper provides an overview of the AcousticBrainz Genre Task organized as part of theMediaEval 2017 Benchmarking Initiative for Multimedia Evaluation. The task is focused on content-based music genre recognition using genre annotations from multiple sources and large-scale music features data available in the AcousticBrainz database. The goal of our task is to explore how the same music pie...

The large volume of user-generated content on the Social Web puts a high burden on the participants to evaluate the accuracy and quality of such content. Researchers have been trying to address this problem by focusing on discovering influential entities inside social platforms to guide their ranking algorithms. Often these entities correspond to people or organizations already influential in t...

In this paper, a video retrieval application for the Android mobile platform is described. The application utilises computer vision technologies that, given a photo of a landmark of interest, will automatically locate online videos about that landmark. Content-based video retrieval technologies are adopted to find the most relevant videos based on visual similarity of video content. The system ...

Abstract We introduce and study some variants of a notion canonical set theoretical truth. By this, we mean truth in transitive proper class model M ZFC that is uniquely characterized by $$\in$$ ∈ -formula. show there are interesting statements hold all such models, but do not follow from ZFC, as the ground a...