DocumentCode
3275586
Title
Adaptive Quantization for Matching Pursuit
Author
Shoa, Alireza ; Shirani, Shahram
Author_Institution
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont.
fYear
2006
fDate
3-6 Oct. 2006
Firstpage
71
Lastpage
74
Abstract
We propose an adaptive quantization scheme for matching pursuit. Different quantizers are used in different matching pursuit (MP) stages based on the probability distribution of MP coefficients. The quantizers are optimized for a given rate budget constraint. Additionally, our proposed adaptive quantization scheme finds the optimal quantizers for each stage based on the information known to both encoder and decoder. Our quantization scheme outperforms existing MP encoders
Keywords
data compression; decoding; image coding; image matching; iterative methods; probability; time-frequency analysis; MP coefficients; adaptive quantization scheme; decoder; encoder; matching pursuit; probability distribution; rate budget constraint; Bit rate; Constraint optimization; Decoding; Dictionaries; Discrete cosine transforms; Encoding; Greedy algorithms; Matching pursuit algorithms; Probability distribution; Quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Signal Processing, 2006 IEEE 8th Workshop on
Conference_Location
Victoria, BC
Print_ISBN
0-7803-9751-7
Electronic_ISBN
0-7803-9752-5
Type
conf
DOI
10.1109/MMSP.2006.285271
Filename
4064521
Link To Document