A synchronization ground truth for the jiku mobile video dataset

Abstract

This paper introduces and describes a manually generated synchronization ground truth, accurate to the level of the audio sample, for the Jiku Mobile Video Dataset, a dataset containing hundreds of videos recorded by mobile users at different events with drama, dancing and singing performances. It aims at encouraging researchers to evaluate the performance of their audio, video, or multimodal synchronization methods on a publicly available dataset, to facilitate easy benchmarking, and to ease the development of mobile video processing methods like audio and video quality enhancement, analytics and summary generation that depend on an accurately synchronized dataset.