@inproceedings{segall2001application,
abstract = {In this paper, we present a novel fidelity constraint for the image enhancement problem by exploiting the motion vectors of a compressed video bit-stream. These vectors establish a correspondence between image pixels across a series of frames, and our goal is to maintain this relationship during processing. In our past work, we considered algorithms that relied on the sum-of-absolute differences as the match criteria. As we show in this paper, this metric is problematic for the enhancement problem. We then pose the constraint within the context of a sum-of-squared errors criterion for matching. This allows for a more rigorous treatment of the fidelity constraint. Finally, experimental results illustrate the performance of the new constraint.},
author = {Segall, C.A. and Katsaggelos, A.K.},
booktitle = {Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)},
doi = {10.1109/ICIP.2001.959128},
isbn = {0-7803-6725-1},
organization = {IEEE},
pages = {646--649},
publisher = {IEEE},
title = {{Application of the motion vector constraint to the regularized enhancement of compressed video}},
url = {http://ieeexplore.ieee.org/document/959128/},
volume = {1},
year = {2001}
}

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