Incorporating Crowd Perspectives into Multimedia Retrieval Systems

The twenty-first century has brought plentiful computational power and bandwidth to the masses and has opened up access to multimedia recording devices for everyone. With these developments, a shift in the landscape of multimedia took place: from traditional one-to-many programming (the paradigm of traditional television) to many-to-many...

Exploring microblog activity for the prediction of hyperlink anchors in television broadcasts

In this paper, we present a social media based approach to finding anchors in video archives. We use social activity on Twitter to find topics on which people have questions about in order to select suitable anchors. The experiments were carried out on the MediaEval Search and Anchoring in Video Archives Task (SAVA) data set, consisting of 68...

Swarm Discovery in Tribler using 2-Hop TorrentSmell

Peer-to-peer (P2P) technology allows us to create self-organising and scalable systems. The distributed nature of these systems requires a solution for finding interesting peers. In the context of P2P file sharing, finding peers who are downloading the same file is referred to as the swarm discovery problem. In BitTorrent, this problem is solved...

Tribler Download Core Improvement

BitTorrent is a popular peer-to-peer file sharing protocol. From a user’s perspective, it is important that a BitTorrent client downloads the files as fast as possible. The socially enhanced BitTorrent client called Tribler – from the Delft University of Technology and the Vrije Universiteit – was presumed to be lacking in speed. This...