Resampling for Spatial Scalability. Segall, A. & Katsaggelos, A. In 2006 International Conference on Image Processing, pages 181–184, oct, 2006. IEEE. Paper doi abstract bibtex Resampling is a fundamental issue in the design of a spatially scalable video codec. The resampling procedure is responsible for down-sampling the high-resolution video sequence to generate lower resolution data, as well as upsampling the transmitted lower resolution data to predict the original high-resolution frames. In both cases, the resampling operation must make trade-offs between coding efficiency, image quality and computational complexity. In this paper, we consider the resampling design problem within an optimization framework. ©2006 IEEE.
@inproceedings{Andrew2006,
abstract = {Resampling is a fundamental issue in the design of a spatially scalable video codec. The resampling procedure is responsible for down-sampling the high-resolution video sequence to generate lower resolution data, as well as upsampling the transmitted lower resolution data to predict the original high-resolution frames. In both cases, the resampling operation must make trade-offs between coding efficiency, image quality and computational complexity. In this paper, we consider the resampling design problem within an optimization framework. {\textcopyright}2006 IEEE.},
author = {Segall, Andrew and Katsaggelos, Aggelos},
booktitle = {2006 International Conference on Image Processing},
doi = {10.1109/ICIP.2006.312364},
isbn = {1-4244-0480-0},
issn = {15224880},
keywords = {Adaptive filters,Interpolation,Video coding},
month = {oct},
pages = {181--184},
publisher = {IEEE},
title = {{Resampling for Spatial Scalability}},
url = {https://ieeexplore.ieee.org/document/4106496/},
year = {2006}
}
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