Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Diagnosis and Treatment of Film Tear in Degraded Archived Media
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Full-Frame Video Stabilization
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
MCMC for joint noise reduction and missing data treatment indegraded video
IEEE Transactions on Signal Processing
A generalized model for scratch detection
IEEE Transactions on Image Processing
On missing data treatment for degraded video and film archives: a survey and a new Bayesian approach
IEEE Transactions on Image Processing
Interpolation of missing data in image sequences
IEEE Transactions on Image Processing
Flicker correction for archived film sequences using a nonlinear model
IEEE Transactions on Circuits and Systems for Video Technology
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Defect detection and restoration of degraded videos is an important topic in media content management systems. Frame pixel-shift is a common form of severe defect in videos caused by loss of consecutive pixels by the video transmission system. Pixel-shift refers to the large amount of pixel shifts one by one due to a small quantity of image data loss. The damaged region in the affected frame is usually quite large, causing serious degradation of visual quality. This paper addresses the issue of how to automatically detect and restore frame pixel-shift in videos. Pixel-shift frame detection relies on spatio-temporal information and motion estimation. Accurate measurement of pixels shift is achieved based on the analysis of temporal frequency information and restoration is accomplished by reversing the pixels shift and spatio-temporal interpolation. Performance evaluation using real video sequences demonstrate the good performance of our algorithm.