Title :
Wavelet-Based Foveated Compression Algorithm for Real-Time Video Processing
Author :
Galan-Hernandez, J.C. ; Alarcon-Aquino, V. ; Starostenko, O. ; Ramirez-Cortes, J.M.
Author_Institution :
Dept. of Comput., Electron., & Mechatron., Univ. de las Americas Puebla, Cholula, Mexico
fDate :
Sept. 28 2010-Oct. 1 2010
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.
Keywords :
data compression; video coding; wavelet transforms; real-time video processing; region of interest; wavelet-based foveated compression algorithm; Discrete cosine transforms; Discrete wavelet transforms; Image coding; Streaming media; Video compression; Wavelets; compression; discrete cosine transform; foveation; real-time video processing;
Conference_Titel :
Electronics, Robotics and Automotive Mechanics Conference (CERMA), 2010
Conference_Location :
Morelos
Print_ISBN :
978-1-4244-8149-1
DOI :
10.1109/CERMA.2010.52