Synchronization of multiple video recordings based on still camera flashes
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Synchronization of Video Sequences from Free-Moving Cameras
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
Video synchronization from human motion using rank constraints
Computer Vision and Image Understanding
Automatic ground-truthing using video registration for on-board detection algorithms
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Temporal synchronization of non-overlapping videos using known object motion
Pattern Recognition Letters
Video synchronization using temporal signals from Epipolar lines
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Efficient video sequences alignment using unbiased bidirectional dynamic time warping
Journal of Visual Communication and Image Representation
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Warping trajectories for video synchronization
Proceedings of the 4th ACM/IEEE international workshop on Analysis and retrieval of tracked events and motion in imagery stream
Proceedings of the 10th European Conference on Visual Media Production
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In this paper, we present a novel method for synchronizing multiple (more than two) uncalibrated video sequences recording the same event by free-moving full-perspective cameras. Unlike previous synchronization methods, our method takes advantage of tri-view geometry constraints instead of the commonly used two-view one for their better performance in measuring geometric alignment when video frames are synchronized. In particular, the tri-ocular geometric constraint of point/line features, which is evaluated by tri-focal transfer, is enforced when building the timeline maps for sequences to be synchronized. A hierarchical approach is used to reduce the computational complexity. To achieve subframe synchronization accuracy, the Levenberg-Marquardt method-based optimization is performed. The experimental results on several synthetic and real video datasets demonstrate the effectiveness and robustness of our method over previous methods in synchronizing full-perspective videos