@inproceedings{segall2001bayesian,
abstract = {A method for simultaneously estimating the high-resolution frames and the corresponding motion field from a compressed low-resolution video sequence is presented. The algorithm incorporates knowledge of the spatio-temporal correlation between low and high-resolution images to estimate the original high-resolution sequence from the degraded low-resolution observation. Information from the encoder is also exploited, including the transmitted motion vectors, quantization tables, coding modes and quantizer scale factors. Simulations illustrate an improvement in the peak signal-to-noise ratio when compared with traditional interpolation techniques and are corroborated with visual results.},
author = {Segall, C.A. and Molina, R. and Katsaggelos, A.K. and Mateos, J.},
booktitle = {Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)},
doi = {10.1109/ICIP.2001.958415},
isbn = {0-7803-6725-1},
organization = {IEEE},
pages = {25--28},
publisher = {IEEE},
title = {{Bayesian high-resolution reconstruction of low-resolution compressed video}},
url = {http://ieeexplore.ieee.org/document/958415/},
volume = {2},
year = {2001}
}

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