An Empirical Study of Non-Rigid Surface Feature Matching of Human from 3D Video

This paper presents an empirical study of affine invariant feature detectors to perform matching on video sequences of people with non-rigid surface deformation. Recent advances in feature detection and wide baseline matching have focused on static scenes. Video frames of human movement capture highly non-rigid deformation such as loose hair, cloth creases, skin stretching and free flowing clothing. This study evaluates the performance of six widely used feature detectors for sparse temporal correspondence on single view and multiple view video sequences. Quantitative evaluation is performed of both the number of features detected and their temporal matching against and without ground truth correspondence. Recall-accuracy analysis of feature matching is reported for temporal correspondence on single view and multiple view sequences of people with variation in clothing and movement. This analysis identifies that existing feature detection and matching algorithms are unreliable for fast movement with common clothing.

Plattform Musikalische Bildung

Bei der Plattform Musikalische Bildung handelt es sich um ein Projekt der Hochschule für Musik Detmold. Die Plattform vereinigt in sich Ideen zum vernetzten Musiklernen, neu entwickelten Online-Musiklern-Tools sowie den Austausch und die Modifizierung dieser erstellten Kurse durch andere Dozenten und Lehrenden. Die Plattform steht allen Dozenten und Lehrern, Studierenden und Schülern an Hochschulen, aber auch Musikschulen und allgemein bildenden Schulen kostenlos zur Verfügung. Auf die Einblendung von Werbebannern wird verzichtet. Die Inbetriebnahme einer Betaversion ist im Oktober 2014 erfolgt. Weitere Ausbaustufen sind in Planung aber noch nicht gegenfinanziert.

The EU’s Trouble with Mashups: From Disabling to Enabling a Digital Art Form

New tools for editing of digital images, music and films have opened up new possibilities to enable wider circles of society to engage in ’artistic’ activities of different qualities. User-generated content has produced a plethora of new forms of artistic expression. One type of user-generated content is the mashup. Mashups are compositions that combine existing works (often) protected by copyright and transform them into new original creations. The European legislative framework has not yet reacted to the copyright problems provoked by mashups. Neither under the US fair use doctrine, nor under the strict corset of limitations and exceptions in Art 5 (2)-(3) of the Copyright Directive (2001/29/EC) have mashups found room to develop in a safe legal environment. The contribution analyzes the current European legal framework and identifies its insufficiencies with regard to enabling a legal mashup culture. By comparison with the US fair use approach, in particular the parody defense, a recent CJEU judgment serves as a comparative example. Finally, an attempt is made to suggest solutions for the European legislator, based on the policy proposals of the EU Commission’s “Digital Agenda” and more recent policy documents (e.g. “On Content in the Digital Market”, “Licenses for Europe”). In this context, a distinction is made between non-commercial mashup artists and the emerging commercial mashup scene.