Motion compensated film restoration
Machine Vision and Applications
Practical, Unified, Motion and Missing Data Treatment in Degraded Video
Journal of Mathematical Imaging and Vision
Detection and removal of video defects using rational-based techniques
Advances in Engineering Software - Advanced algorithms and architectures for signal processing
Exploiting temporal discontinuities for event detection and manipulation in video streams
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Video watercolorization using bidirectional texture advection
ACM SIGGRAPH 2007 papers
Fusion of complementary detectors for improving blotch detection in digitized films
Pattern Recognition Letters
Constrained texture restoration
EURASIP Journal on Applied Signal Processing
Restoration of blue scratches in digital image sequences
Image and Vision Computing
Color Scratches Removal Using Human Perception
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Pathological motion detection for robust missing data treatment
EURASIP Journal on Advances in Signal Processing
A fusion-based approach to digital movie restoration
Pattern Recognition
Fast and Efficient MRF-Based Detection Algorithm of Missing Data in Degraded Image Sequences
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Detection and removal of video defects using rational-based techniques
Advances in Engineering Software - Advanced algorithms and architectures for signal processing
On parsing visual sequences with the hidden Markov model
Journal on Image and Video Processing
Visual algorithms for post production
ACM SIGGRAPH 2009 Courses
Film line scratch detection using texture and shape information
Pattern Recognition Letters
Colorization of black-and-white cartoons
Image and Vision Computing
Simultaneous inpainting and motion estimation of highly degraded video-sequences
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Restoration of digitized video sequences: an efficient drop-out detection and removal framework
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Scratch detection supported by coherency analysis of motion vector fields
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Trainable blotch detection on high resolution archive films minimizing the human interaction
Machine Vision and Applications - Integrated Imaging and Vision Techniques for Industrial Inspection
Removing line scratches in digital image sequences by fusion techniques
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Film line scratch detection using neural network
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
Blotch detection for film restoration
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
DepthArtist: a stereoscopic 3D conversion tool for CG animation
Proceedings of the 9th European Conference on Visual Media Production
Adaptive line scratch detection in degraded films
Proceedings of the 9th European Conference on Visual Media Production
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From the Publisher:This book looks at the design of automatic motion picture restoration tools that can be used for enhancing archive material, and reducing the storage requirements necessary for acceptable viewing quality so that data can be recorded on relatively low-cost media. An increasing amount of research is being carried out in the area of visual manipulation, aspects of which include Motion Estimation, Data Reconstruction and Human Visual Perception. Motion Estimation is relevant to everything in video processing, from reconstruction to robotics. Research is also being carried out in the area of post processing decoded video streams to improve the image quality of the film. This research also involves reconstruction. This book addresses both Motion Estimation and Reconstruction, and as such will be of great interest to researchers in both academia and industry.