ConCor+: Robust and confident video synchronization using consensus-based Cross-correlation

Consensus-based Cross-correlation (ConCor) is a recently presented algorithm for robust synchronization of noisy and corrupted signals. ConCor has a number of interdependent parameters that need to be set correctly to guarantee good performance. In this paper we analyse the effects of the individual parameters on ConCor´s behaviour and performance. As a second contribution, we show that a parameter sweep with subsequent majority voting can be used to boost ConCor´s performance and produce a trustworthy confidence measure. As a final contribution we show how the proposed extension also allows performing multi-modal (joint audio-video) synchronization of casual multi-perspective video recordings enabling superior matching performance.