Quasi-Bezier curves integrating localised information
Pattern Recognition
Dynamic Bezier curves for variable rate-distortion
Pattern Recognition
Spatial error concealment: A novel exemplar-based approach using segmentation
Computers and Electrical Engineering
Geometric distortion measurement for shape coding: A contemporary review
ACM Computing Surveys (CSUR)
Novel video error concealment using shot boundary detection
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part III
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In this paper, an original spatial shape error-concealment technique, to be used in the context of object-based image and video coding schemes, is proposed. In this technique, it is assumed that the shape of the corrupted object at hand is in the form of a binary alpha plane, in which some of the shape data is missing due to channel errors. From this alpha plane, a contour corresponding to the border of the object can be extracted. However, due to errors, some parts of the contour will be missing and, therefore, the contour will be broken. The proposed technique relies on the interpolation of the missing contours with Be´zier curves, which is done based on the available surrounding contours. After all the missing parts of the contour have been interpolated, the concealed alpha plane can be easily reconstructed from the fully recovered contour and used instead of the erroneous one improving the final subjective impact.