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TIP
2002
92views more  TIP 2002»
15 years 4 months ago
Gradient match and side match fractal vector quantizers for images
In this paper we propose the gradient match fractal vector quantizers (GMFVQs) and the side match fractal vector quantizers (SMFVQs), which are two classes of finite state fractal...
Hsuan T. Chang
ICASSP
2011
IEEE
14 years 8 months ago
Image prediction based on non-negative matrix factorization
This paper presents a novel spatial texture prediction method based on non-negative matrix factorization. As an extension of template matching, approximation based iterative textu...
Mehmet Türkan, Christine Guillemot
ICASSP
2011
IEEE
14 years 8 months ago
Using residual vector quantization for image content classification
Multistage residual vector quantizers (RVQ) with optimal direct sum decoder codebooks have been successfully designed and implemented for data compression. Due to its multistage s...
Syed Irteza Ali Khan, Christopher F. Barnes

Lab
667views
16 years 1 months ago
Digital Systems and Media Computing Laboratory - DSMC
The Digital Systems and Media Computing Laboratory (DSMC Lab) was established in the end of 2002 and is located in Patras, Greece. DSMC operates under the School of Sciences and Te...
SODA
2012
ACM
209views Algorithms» more  SODA 2012»
13 years 7 months ago
Simple and practical algorithm for sparse Fourier transform
We consider the sparse Fourier transform problem: given a complex vector x of length n, and a parameter k, estimate the k largest (in magnitude) coefficients of the Fourier transf...
Haitham Hassanieh, Piotr Indyk, Dina Katabi, Eric ...