@inproceedings{
 title = {Wavelet-Based Foveated Compression Algorithm for Real-Time Video Processing},
 type = {inproceedings},
 year = {2010},
 keywords = {Compression,Discrete cosine transform,Foveation,Real-time video processing,Wavelets},
 pages = {405-410},
 websites = {http://ieeexplore.ieee.org/document/5692371/},
 month = {9},
 publisher = {IEEE},
 id = {e60a02cc-5900-3091-ba9a-b645731392ae},
 created = {2022-08-29T17:43:07.674Z},
 file_attached = {false},
 profile_id = {940dd160-7d67-3a5f-b9f8-935da0571367},
 group_id = {92fccab2-8d44-33bc-b301-7b94bb18523c},
 last_modified = {2022-08-29T17:43:07.674Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {Wavelet foveated compression can be used in real-time video processing frameworks for reducing the communication overhead. However, each wavelet can yields into different results on compression ratio. Classic foveation filters also applies cutoff frequencies over the region of interest (ROI). A comparative analysis has then been performed showing the different error rate for different cutoff frequency windows that preserves the ROI coefficients intact against windows that apply cutoffs over the ROI. Simulation results show that with wavelet-based foveated compression high ratio of compression can be achieved while keeping high quality over the designed ROI. © 2010 IEEE.},
 bibtype = {inproceedings},
 author = {Galan-Hernandez, J.C. and Alarcon-Aquino, V. and Starostenko, O. and Ramirez-Cortes, J.M.},
 doi = {10.1109/CERMA.2010.52},
 booktitle = {2010 IEEE Electronics, Robotics and Automotive Mechanics Conference}
}

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